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	<title>The Higley 1000</title>
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	<link>http://higley1000.com</link>
	<description>Racial Integration in the Wealthiest 1000 Places in America</description>
	<lastBuildDate>Sun, 21 Apr 2013 14:56:35 +0000</lastBuildDate>
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		<title>The 2010 Higley 1000 is Here! Dramatic Gains for Asians &amp; Hispanics. Dramatic Decline for Non-Hispanic Whites</title>
		<link>http://higley1000.com/archives/535</link>
		<comments>http://higley1000.com/archives/535#comments</comments>
		<pubDate>Sun, 21 Apr 2013 14:56:35 +0000</pubDate>
		<dc:creator>Stephen Higley</dc:creator>
				<category><![CDATA[Exclusive Neighborhoods]]></category>
		<category><![CDATA[Racial Diversity]]></category>
		<category><![CDATA[The US Census]]></category>

		<guid isPermaLink="false">http://higley1000.com/?p=535</guid>
		<description><![CDATA[The Higley 1000 is ready for publication. Although I will continue to tinker around the edges as I find Census Tracts that have been omitted, I am confident enough in my research that I can identify racial trends that have rocked the world of the wealthy as well as the nation at large. The real [...]]]></description>
				<content:encoded><![CDATA[<p>The Higley 1000 is ready for publication. Although I will continue to tinker around the edges as I find Census Tracts that have been omitted, I am confident enough in my research that I can identify racial trends that have rocked the world of the wealthy as well as the nation at large. The real story here is the wholesale movement of Asians (of all different types), and Latinos into neighborhoods that had been formerly the exclusive domain of Whites. I&#8217;d like to point out that I&#8217;ll be using the term &#8220;White&#8221; instead of the clunky &#8220;Non-Hispanic White&#8221; for this and all future articles. It is important to remember that the vast majority of Latinos consider themselves &#8220;White&#8221;.</p>
<p>There are 5,622,120 fortunate souls living in the 1000 highest income communities or Census Tracts in the United States. 81.2% are White; 9.5% Asian; 5.3%; and 2.2% are African-American. The numbers do not add up to 100% as 1.6% are defined as &#8220;Other&#8221;. For the curious, &#8220;Other&#8221; racial groups include people that are of mixed race, Native Americans, Pacific Islanders, and Aleuts, As the table below shows, Whites and Asians are over-represented in the Higley 1000 and Latinos and Blacks are under represented. Although it is not possible to easily compare the 2000 list to the 2010 list due to the difference in the basic geographic units (Census Tracts vs. Block Groups), I can see clear trends and will try to report on the racial makeup of America&#8217;s most elite places to the best of my ability. Another major change between 2000 and 2010 is that in 2010 I have used population to measure racial percentages. In 2000 I used households. The different metric means that I have expanded the population of the Higley 1000 dramatically from a population of 1,694,665 in the 2000 Census to 5,622,120 in the 2010 Census. It is important to note that by increasing the size of the sample, it automatically increases the representation of all minorities as they are rapidly moving into the American elite at the expense of Whites and are often found at higher concentrations the lower you go on the list of high income suburbs or neighborhoods. The Elite 100, the top neighborhoods are more White and less everything else than the Higley 1000.</p>

<table id="tablepress-4" class="tablepress tablepress-id-4">
<thead>
<tr class="row-1 odd">
	<th class="column-1"><div>&nbsp;</div></th><th class="column-2"><div>METRO AREA</div></th><th class="column-3"><div>POP</div></th><th class="column-4"><div>WHITE</div></th><th class="column-5"><div>ASIAN</div></th><th class="column-6"><div>LATINO</div></th><th class="column-7"><div>BLACK</div></th>
</tr>
</thead>
<tbody class="row-hover">
<tr class="row-2 even">
	<td class="column-1">1</td><td class="column-2">New York City</td><td class="column-3">1,643,934</td><td class="column-4">82.0%</td><td class="column-5">8.8%</td><td class="column-6">5.4%</td><td class="column-7">2.2%</td>
</tr>
<tr class="row-3 odd">
	<td class="column-1">2</td><td class="column-2">Washington DC</td><td class="column-3">558,780</td><td class="column-4">74.2%</td><td class="column-5">12.7%</td><td class="column-6">5.2%</td><td class="column-7">4.8%</td>
</tr>
<tr class="row-4 even">
	<td class="column-1">3</td><td class="column-2">Los Angeles</td><td class="column-3">544,179</td><td class="column-4">76.5%</td><td class="column-5">12.0%</td><td class="column-6">6.9%</td><td class="column-7">1.3%</td>
</tr>
<tr class="row-5 odd">
	<td class="column-1">4</td><td class="column-2">San Francisco</td><td class="column-3">436,055</td><td class="column-4">68.0%</td><td class="column-5">21.5%</td><td class="column-6">5.2%</td><td class="column-7">1.2%</td>
</tr>
<tr class="row-6 even">
	<td class="column-1">5</td><td class="column-2">Chicago</td><td class="column-3">293,769</td><td class="column-4">85.5%</td><td class="column-5">7.6%</td><td class="column-6">3.4%</td><td class="column-7">1.7%</td>
</tr>
<tr class="row-7 odd">
	<td class="column-1">6</td><td class="column-2">Boston</td><td class="column-3">247,267</td><td class="column-4">85.8%</td><td class="column-5">8.3%</td><td class="column-6">2.8%</td><td class="column-7">1.6%</td>
</tr>
<tr class="row-8 even">
	<td class="column-1">7</td><td class="column-2">Dallas-Fort Worth</td><td class="column-3">168,262</td><td class="column-4">81.9%</td><td class="column-5">7.6%</td><td class="column-6">6.0%</td><td class="column-7">2.4%</td>
</tr>
<tr class="row-9 odd">
	<td class="column-1">8</td><td class="column-2">Houston</td><td class="column-3">156,636</td><td class="column-4">73.8%</td><td class="column-5">14.2%</td><td class="column-6">8.2%</td><td class="column-7">1.8%</td>
</tr>
<tr class="row-10 even">
	<td class="column-1">9</td><td class="column-2">Philadelphia</td><td class="column-3">116,724</td><td class="column-4">88.4%</td><td class="column-5">5.6%</td><td class="column-6">2.5%</td><td class="column-7">2.2%</td>
</tr>
<tr class="row-11 odd">
	<td class="column-1">10</td><td class="column-2">Atlanta</td><td class="column-3">77,997</td><td class="column-4">86.9%</td><td class="column-5">4.7%</td><td class="column-6">3.2%</td><td class="column-7">3.6%</td>
</tr>
<tr class="row-12 even">
	<td class="column-1">11</td><td class="column-2">Phoenix</td><td class="column-3">74,302</td><td class="column-4">89.0%</td><td class="column-5">3.9%</td><td class="column-6">4.3%</td><td class="column-7">1.0%</td>
</tr>
<tr class="row-13 odd">
	<td class="column-1">12</td><td class="column-2">San Diego</td><td class="column-3">71,496</td><td class="column-4">74.3%</td><td class="column-5">11.4%</td><td class="column-6">8.3%</td><td class="column-7">1.0%</td>
</tr>
<tr class="row-14 even">
	<td class="column-1">13</td><td class="column-2">Detroit</td><td class="column-3">70,122</td><td class="column-4">87.3%</td><td class="column-5">5.9%</td><td class="column-6">1.7%</td><td class="column-7">3.3%</td>
</tr>
<tr class="row-15 odd">
	<td class="column-1">14</td><td class="column-2">Phoenix</td><td class="column-3">66,121</td><td class="column-4">89.8%</td><td class="column-5">3.7%</td><td class="column-6">4.0%</td><td class="column-7">0.8%</td>
</tr>
<tr class="row-16 even">
	<td class="column-1">15</td><td class="column-2">Seattle</td><td class="column-3">65,623</td><td class="column-4">77.8%</td><td class="column-5">13.3%</td><td class="column-6">3.1%</td><td class="column-7">1.7%</td>
</tr>
<tr class="row-17 odd">
	<td class="column-1">16</td><td class="column-2">Minneapolis-St. Paul</td><td class="column-3">62,505</td><td class="column-4">90.4%</td><td class="column-5">5.3%</td><td class="column-6">1.6%</td><td class="column-7">1.1%</td>
</tr>
<tr class="row-18 even">
	<td class="column-1">17</td><td class="column-2">West Palm Beach</td><td class="column-3">58,710</td><td class="column-4">86.4%</td><td class="column-5">2.3%</td><td class="column-6">7.6%</td><td class="column-7">2.7%</td>
</tr>
<tr class="row-19 odd">
	<td class="column-1">18</td><td class="column-2">Denver</td><td class="column-3">53,977</td><td class="column-4">89.4%</td><td class="column-5">4.0%</td><td class="column-6">3.8%</td><td class="column-7">1.0%</td>
</tr>
<tr class="row-20 even">
	<td class="column-1">19</td><td class="column-2">Baltimore</td><td class="column-3">48,334</td><td class="column-4">89.9%</td><td class="column-5">3.6%</td><td class="column-6">1.9%</td><td class="column-7">2.7%</td>
</tr>
<tr class="row-21 odd">
	<td class="column-1">20</td><td class="column-2">Miami</td><td class="column-3">46,510</td><td class="column-4">51.7%</td><td class="column-5">1.6%</td><td class="column-6">44.7%</td><td class="column-7">1.1%</td>
</tr>
<tr class="row-22 even">
	<td class="column-1">21</td><td class="column-2">Nashville</td><td class="column-3">45,824</td><td class="column-4">91.9%</td><td class="column-5">3.0%</td><td class="column-6">1.6%</td><td class="column-7">2.2%</td>
</tr>
<tr class="row-23 odd">
	<td class="column-1">22</td><td class="column-2">Charlotte</td><td class="column-3">36,524</td><td class="column-4">89.6%</td><td class="column-5">3.2%</td><td class="column-6">2.7%</td><td class="column-7">3.1%</td>
</tr>
<tr class="row-24 even">
	<td class="column-1">23</td><td class="column-2">St. Louis</td><td class="column-3">36,227</td><td class="column-4">86.0%</td><td class="column-5">5.4%</td><td class="column-6">1.8%</td><td class="column-7">2.3%</td>
</tr>
<tr class="row-25 odd">
	<td class="column-1">24</td><td class="column-2">Birmingham</td><td class="column-3">36,195</td><td class="column-4">92.2%</td><td class="column-5">1.8%</td><td class="column-6">2.3%</td><td class="column-7">2.8%</td>
</tr>
<tr class="row-26 even">
	<td class="column-1">25</td><td class="column-2">Austin</td><td class="column-3">34,410</td><td class="column-4">86.8%</td><td class="column-5">4.6%</td><td class="column-6">6.1%</td><td class="column-7">0.7%</td>
</tr>
<tr class="row-27 odd">
	<td class="column-1">26</td><td class="column-2">Columbus</td><td class="column-3">34,004</td><td class="column-4">89.0%</td><td class="column-5">5.0%</td><td class="column-6">1.6%</td><td class="column-7">2.6%</td>
</tr>
<tr class="row-28 even">
	<td class="column-1">27</td><td class="column-2">Cleveland-Akron</td><td class="column-3">30,642</td><td class="column-4">87.3%</td><td class="column-5">4.6%</td><td class="column-6">1.6%</td><td class="column-7">5.2%</td>
</tr>
<tr class="row-29 odd">
	<td class="column-1">28</td><td class="column-2">Orlando</td><td class="column-3">29,554</td><td class="column-4">77.0%</td><td class="column-5">7.6%</td><td class="column-6">8.8%</td><td class="column-7">4.5%</td>
</tr>
<tr class="row-30 even">
	<td class="column-1">29</td><td class="column-2">Memphis</td><td class="column-3">23,244</td><td class="column-4">88.1%</td><td class="column-5">5.1%</td><td class="column-6">1.5%</td><td class="column-7">4.1%</td>
</tr>
<tr class="row-31 odd">
	<td class="column-1">30</td><td class="column-2">Richmond</td><td class="column-3">22,070</td><td class="column-4">90.1%</td><td class="column-5">4.1%</td><td class="column-6">1.5%</td><td class="column-7">3.1%</td>
</tr>
<tr class="row-32 even">
	<td class="column-1">31</td><td class="column-2">Las Vegas</td><td class="column-3">21,227</td><td class="column-4">75.6%</td><td class="column-5">9.8%</td><td class="column-6">7.2%</td><td class="column-7">4.0%</td>
</tr>
<tr class="row-33 odd">
	<td class="column-1">32</td><td class="column-2">Sacramento</td><td class="column-3">20,402</td><td class="column-4">83.7%</td><td class="column-5">5.6%</td><td class="column-6">6.2%</td><td class="column-7">0.7%</td>
</tr>
<tr class="row-34 even">
	<td class="column-1">33</td><td class="column-2">Kansas City</td><td class="column-3">20,027</td><td class="column-4">92.8%</td><td class="column-5">2.6%</td><td class="column-6">2.0%</td><td class="column-7">1.2%</td>
</tr>
<tr class="row-35 odd">
	<td class="column-1">34</td><td class="column-2">Fort Lauderdale</td><td class="column-3">19,759</td><td class="column-4">70.2%</td><td class="column-5">4.2%</td><td class="column-6">20.0%</td><td class="column-7">3.9%</td>
</tr>
<tr class="row-36 even">
	<td class="column-1">35</td><td class="column-2">San Antonio</td><td class="column-3">19,479</td><td class="column-4">71.3%</td><td class="column-5">2.6%</td><td class="column-6">23.4%</td><td class="column-7">0.9%</td>
</tr>
<tr class="row-37 odd">
	<td class="column-1">36</td><td class="column-2">Indianapolis</td><td class="column-3">18,095</td><td class="column-4">88.3%</td><td class="column-5">6.2%</td><td class="column-6">1.8%</td><td class="column-7">1.9%</td>
</tr>
<tr class="row-38 even">
	<td class="column-1">37</td><td class="column-2">Hartford</td><td class="column-3">16,730</td><td class="column-4">88.1%</td><td class="column-5">5.7%</td><td class="column-6">3.2%</td><td class="column-7">1.7%</td>
</tr>
<tr class="row-39 odd">
	<td class="column-1">38</td><td class="column-2">Naples</td><td class="column-3">15,337</td><td class="column-4">94.0%</td><td class="column-5">1.1%</td><td class="column-6">4.2%</td><td class="column-7">0.6%</td>
</tr>
<tr class="row-40 even">
	<td class="column-1">39</td><td class="column-2">Raleigh-Durham</td><td class="column-3">15,317</td><td class="column-4">83.3%</td><td class="column-5">8.8%</td><td class="column-6">2.6%</td><td class="column-7">3.4%</td>
</tr>
<tr class="row-41 odd">
	<td class="column-1">40</td><td class="column-2">Jacksonville, FL</td><td class="column-3">15,158</td><td class="column-4">93.3%</td><td class="column-5">1.2%</td><td class="column-6">3.1%</td><td class="column-7">1.2%</td>
</tr>
<tr class="row-42 even">
	<td class="column-1">41</td><td class="column-2">Milwaukee</td><td class="column-3">15,095</td><td class="column-4">91.6%</td><td class="column-5">3.1%</td><td class="column-6">2.2%</td><td class="column-7">1.6%</td>
</tr>
<tr class="row-43 odd">
	<td class="column-1">42</td><td class="column-2">Reno</td><td class="column-3">13,828</td><td class="column-4">88.9%</td><td class="column-5">4.4%</td><td class="column-6">4.1%</td><td class="column-7">0.4%</td>
</tr>
<tr class="row-44 even">
	<td class="column-1">43</td><td class="column-2">Tulsa</td><td class="column-3">13,655</td><td class="column-4">88.1%</td><td class="column-5">2.7%</td><td class="column-6">2.4%</td><td class="column-7">1.0%</td>
</tr>
<tr class="row-45 odd">
	<td class="column-1">44</td><td class="column-2">Oklahoma City</td><td class="column-3">13,053</td><td class="column-4">90.2%</td><td class="column-5">1.9%</td><td class="column-6">2.1%</td><td class="column-7">1.4%</td>
</tr>
<tr class="row-46 even">
	<td class="column-1">45</td><td class="column-2">Santa Barbara</td><td class="column-3">12,618</td><td class="column-4">87.6%</td><td class="column-5">2.3%</td><td class="column-6">7.3%</td><td class="column-7">0.5%</td>
</tr>
<tr class="row-47 odd">
	<td class="column-1">46</td><td class="column-2">Wilmington DE</td><td class="column-3">11,489</td><td class="column-4">88.6%</td><td class="column-5">4.2%</td><td class="column-6">3.4%</td><td class="column-7">2.4%</td>
</tr>
<tr class="row-48 even">
	<td class="column-1">47</td><td class="column-2">Portland OR</td><td class="column-3">10,809</td><td class="column-4">80.7%</td><td class="column-5">10.9%</td><td class="column-6">3.1%</td><td class="column-7">1.0%</td>
</tr>
<tr class="row-49 odd">
	<td class="column-1">48</td><td class="column-2">Salt Lake City</td><td class="column-3">10,429</td><td class="column-4">91.7%</td><td class="column-5">3.1%</td><td class="column-6">2.6%</td><td class="column-7">0.5%</td>
</tr>
<tr class="row-50 even">
	<td class="column-1">49</td><td class="column-2">Honolulu</td><td class="column-3">9,400</td><td class="column-4">32.3%</td><td class="column-5">49.6%</td><td class="column-6">2.7%</td><td class="column-7">0.4%</td>
</tr>
<tr class="row-51 odd">
	<td class="column-1">50</td><td class="column-2">Pittsburgh</td><td class="column-3">9,049</td><td class="column-4">92.9%</td><td class="column-5">3.7%</td><td class="column-6">1.3%</td><td class="column-7">0.8%</td>
</tr>
<tr class="row-52 even">
	<td class="column-1">51</td><td class="column-2">Louisville</td><td class="column-3">8,669</td><td class="column-4">92.1%</td><td class="column-5">2.9%</td><td class="column-6">1.6%</td><td class="column-7">2.4%</td>
</tr>
<tr class="row-53 odd">
	<td class="column-1">52</td><td class="column-2">Omaha</td><td class="column-3">8,536</td><td class="column-4">88.6%</td><td class="column-5">3.1%</td><td class="column-6">2.9%</td><td class="column-7">3.8%</td>
</tr>
<tr class="row-54 even">
	<td class="column-1">53</td><td class="column-2">Palm Springs</td><td class="column-3">7,322</td><td class="column-4">89.0%</td><td class="column-5">2.2%</td><td class="column-6">6.7%</td><td class="column-7">0.6%</td>
</tr>
<tr class="row-55 odd">
	<td class="column-1">54</td><td class="column-2">Tampa-St. Petersburg</td><td class="column-3">6,964</td><td class="column-4">85.0%</td><td class="column-5">3.4%</td><td class="column-6">9.2%</td><td class="column-7">1.4%</td>
</tr>
<tr class="row-56 even">
	<td class="column-1">55</td><td class="column-2">Cincinnati</td><td class="column-3">6,958</td><td class="column-4">91.4%</td><td class="column-5">5.1%</td><td class="column-6">1.7%</td><td class="column-7">0.7%</td>
</tr>
<tr class="row-57 odd">
	<td class="column-1">56</td><td class="column-2">Fort Wayne</td><td class="column-3">6,290</td><td class="column-4">83.0%</td><td class="column-5">6.6%</td><td class="column-6">2.7%</td><td class="column-7">5.2%</td>
</tr>
<tr class="row-58 even">
	<td class="column-1">57</td><td class="column-2">New Orleans</td><td class="column-3">6,130</td><td class="column-4">83.0%</td><td class="column-5">4.2%</td><td class="column-6">4.4%</td><td class="column-7">6.7%</td>
</tr>
<tr class="row-59 odd">
	<td class="column-1">58</td><td class="column-2">Rochester, NY</td><td class="column-3">5,415</td><td class="column-4">80.5%</td><td class="column-5">14.1%</td><td class="column-6">2.2%</td><td class="column-7">1.4%</td>
</tr>
<tr class="row-60 even">
	<td class="column-1">59</td><td class="column-2">Rochester, MN</td><td class="column-3">4,885</td><td class="column-4">89.9%</td><td class="column-5">5.7%</td><td class="column-6">1.9%</td><td class="column-7">1.1%</td>
</tr>
<tr class="row-61 odd">
	<td class="column-1">60</td><td class="column-2">Greenville SC</td><td class="column-3">4,541</td><td class="column-4">85.7%</td><td class="column-5">6.3%</td><td class="column-6">2.7%</td><td class="column-7">3.7%</td>
</tr>
<tr class="row-62 even">
	<td class="column-1">61</td><td class="column-2">Monterrey</td><td class="column-3">4,514</td><td class="column-4">84.3%</td><td class="column-5">8.6%</td><td class="column-6">3.7%</td><td class="column-7">0.9%</td>
</tr>
<tr class="row-63 odd">
	<td class="column-1">62</td><td class="column-2">Springfield, MA</td><td class="column-3">4,387</td><td class="column-4">90.4%</td><td class="column-5">5.9%</td><td class="column-6">2.0%</td><td class="column-7">0.8%</td>
</tr>
<tr class="row-64 even">
	<td class="column-1">63</td><td class="column-2">Vero Beach</td><td class="column-3">4,316</td><td class="column-4">97.4%</td><td class="column-5">0.6%</td><td class="column-6">1.3%</td><td class="column-7">0.3%</td>
</tr>
<tr class="row-65 odd">
	<td class="column-1">64</td><td class="column-2">Providence</td><td class="column-3">3,937</td><td class="column-4">94.6%</td><td class="column-5">1.5%</td><td class="column-6">2.3%</td><td class="column-7">0.1%</td>
</tr>
<tr class="row-66 even">
	<td class="column-1">65</td><td class="column-2">Fresno</td><td class="column-3">3,853</td><td class="column-4">78.5%</td><td class="column-5">8.7%</td><td class="column-6">9.0%</td><td class="column-7">1.6%</td>
</tr>
<tr class="row-67 odd">
	<td class="column-1">66</td><td class="column-2">Des Moines</td><td class="column-3">3,596</td><td class="column-4">89.8%</td><td class="column-5">6.1%</td><td class="column-6">2.3%</td><td class="column-7">0.7%</td>
</tr>
<tr class="row-68 even">
	<td class="column-1">67</td><td class="column-2">Bentonville</td><td class="column-3">3,512</td><td class="column-4">88.2%</td><td class="column-5">2.5%</td><td class="column-6">5.4%</td><td class="column-7">2.1%</td>
</tr>
<tr class="row-69 odd">
	<td class="column-1">68</td><td class="column-2">Tidewater</td><td class="column-3">3,502</td><td class="column-4">91.1%</td><td class="column-5">3.1%</td><td class="column-6">2.1%</td><td class="column-7">1.9%</td>
</tr>
<tr class="row-70 even">
	<td class="column-1">69</td><td class="column-2">Wichita</td><td class="column-3">3,123</td><td class="column-4">85.9%</td><td class="column-5">5.9%</td><td class="column-6">2.8%</td><td class="column-7">3.3%</td>
</tr>
<tr class="row-71 odd">
	<td class="column-1">70</td><td class="column-2">Madison</td><td class="column-3">2,878</td><td class="column-4">91.1%</td><td class="column-5">3.1%</td><td class="column-6">2.7%</td><td class="column-7">1.0%</td>
</tr>
<tr class="row-72 even">
	<td class="column-1">71</td><td class="column-2">Tallahassee</td><td class="column-3">2,774</td><td class="column-4">85.4%</td><td class="column-5">2.9%</td><td class="column-6">4.8%</td><td class="column-7">5.7%</td>
</tr>
<tr class="row-73 odd">
	<td class="column-1">72</td><td class="column-2">Winston-Salem</td><td class="column-3">2,770</td><td class="column-4">92.8%</td><td class="column-5">1.0%</td><td class="column-6">2.5%</td><td class="column-7">2.5%</td>
</tr>
<tr class="row-74 even">
	<td class="column-1">73</td><td class="column-2">Aspen</td><td class="column-3">2,563</td><td class="column-4">89.2%</td><td class="column-5">1.5%</td><td class="column-6">7.0%</td><td class="column-7">0.8%</td>
</tr>
<tr class="row-75 odd">
	<td class="column-1">74</td><td class="column-2">Mobile</td><td class="column-3">2,561</td><td class="column-4">93.3%</td><td class="column-5">1.0%</td><td class="column-6">2.3%</td><td class="column-7">2.3%</td>
</tr>
<tr class="row-76 even">
	<td class="column-1">75</td><td class="column-2">Greensboro</td><td class="column-3">2,502</td><td class="column-4">97.4%</td><td class="column-5">0.6%</td><td class="column-6">0.9%</td><td class="column-7">0.7%</td>
</tr>
<tr class="row-77 odd">
	<td class="column-1">76</td><td class="column-2">Columbus, GA</td><td class="column-3">2,476</td><td class="column-4">85.5%</td><td class="column-5">5.8%</td><td class="column-6">2.1%</td><td class="column-7">5.2%</td>
</tr>
<tr class="row-78 even">
	<td class="column-1">77</td><td class="column-2">Dayton</td><td class="column-3">2,129</td><td class="column-4">95.1%</td><td class="column-5">1.5%</td><td class="column-6">1.3%</td><td class="column-7">0.6%</td>
</tr>
<tr class="row-79 odd">
	<td class="column-1">78</td><td class="column-2">Lincoln</td><td class="column-3">2,126</td><td class="column-4">94.4%</td><td class="column-5">2.7%</td><td class="column-6">1.0%</td><td class="column-7">0.8%</td>
</tr>
<tr class="row-80 even">
	<td class="column-1">79</td><td class="column-2">Charleston SC</td><td class="column-3">1,626</td><td class="column-4">96.3%</td><td class="column-5">0.3%</td><td class="column-6">0.9%</td><td class="column-7">2.2%</td>
</tr>
<tr class="row-81 odd">
	<td class="column-1">80</td><td class="column-2">Shreveport</td><td class="column-3">1,535</td><td class="column-4">78.0%</td><td class="column-5">0.6%</td><td class="column-6">1.1%</td><td class="column-7">19.2%</td>
</tr>
<tr class="row-82 even">
	<td class="column-1">81</td><td class="column-2">Asheville</td><td class="column-3">1,343</td><td class="column-4">97.5%</td><td class="column-5">0.3%</td><td class="column-6">1.0%</td><td class="column-7">0.4%</td>
</tr>
<tr class="row-83 odd">
	<td class="column-1">82</td><td class="column-2">Modesto</td><td class="column-3">1,270</td><td class="column-4">75.7%</td><td class="column-5">11.2%</td><td class="column-6">8.4%</td><td class="column-7">1.7%</td>
</tr>
<tr class="row-84 even">
	<td class="column-1">83</td><td class="column-2">Lexington</td><td class="column-3">1,123</td><td class="column-4">91.0%</td><td class="column-5">2.8%</td><td class="column-6">1.0%</td><td class="column-7">3.0%</td>
</tr>
<tr class="row-85 odd">
	<td class="column-1">84</td><td class="column-2">Santa Cruz</td><td class="column-3">1,041</td><td class="column-4">84.8%</td><td class="column-5">3.3%</td><td class="column-6">8.2%</td><td class="column-7">0.5%</td>
</tr>
<tr class="row-86 even">
	<td class="column-1"></td><td class="column-2">All Higley 1000</td><td class="column-3">5,622,120</td><td class="column-4">81.2%</td><td class="column-5">9.5%</td><td class="column-6">5.3%</td><td class="column-7">2.2%</td>
</tr>
</tbody>
</table>
<!-- #tablepress-4 from cache -->
<p>Below is the top 100 places on the list of the Higley 1000. As mentioned above, the basic unit of investigation is either incorporated or unincorporated places with a population greater than 400 as well as all Census Tracts. My webmaster and I are still going through the mechanics of how to list all 1000 neighborhoods without it bogging down your computer as it loads such a long list. The entire list will be coming very soon!</p>

<table id="tablepress-6" class="tablepress tablepress-id-6">
<thead>
<tr class="row-1 odd">
	<th class="column-1"><div>RANK</div></th><th class="column-2"><div>PLACE</div></th><th class="column-3"><div>MEAN INC</div></th><th class="column-4"><div>LOCATER</div></th><th class="column-5"><div>POP</div></th><th class="column-6"><div>WHITE</div></th><th class="column-7"><div>ASIAN</div></th><th class="column-8"><div>LATINO</div></th><th class="column-9"><div>BLACK</div></th>
</tr>
</thead>
<tbody class="row-hover">
<tr class="row-2 even">
	<td class="column-1">1</td><td class="column-2">Westlake</td><td class="column-3">$526,590</td><td class="column-4">Fort Worth</td><td class="column-5">992</td><td class="column-6">82.8%</td><td class="column-7">9.4%</td><td class="column-8">4.8%</td><td class="column-9">2.5%</td>
</tr>
<tr class="row-3 odd">
	<td class="column-1">2</td><td class="column-2">Hunting Valley</td><td class="column-3">$507,214</td><td class="column-4">Cleveland</td><td class="column-5">705</td><td class="column-6">94.3%</td><td class="column-7">1.1%</td><td class="column-8">2.7%</td><td class="column-9">0.6%</td>
</tr>
<tr class="row-4 even">
	<td class="column-1">3</td><td class="column-2">Jupiter Island</td><td class="column-3">$493,705</td><td class="column-4">Palm Beach</td><td class="column-5">817</td><td class="column-6">88.5%</td><td class="column-7">2.6%</td><td class="column-8">6.9%</td><td class="column-9">2.0%</td>
</tr>
<tr class="row-5 odd">
	<td class="column-1">4</td><td class="column-2">Diablo</td><td class="column-3">$492,897</td><td class="column-4">San Francisco</td><td class="column-5">1,158</td><td class="column-6">89.4%</td><td class="column-7">4.7%</td><td class="column-8">3.4%</td><td class="column-9">0.0%</td>
</tr>
<tr class="row-6 even">
	<td class="column-1">5</td><td class="column-2">Snapper Creek</td><td class="column-3">$481,124</td><td class="column-4">Miami</td><td class="column-5">834</td><td class="column-6">65.0%</td><td class="column-7">1.6%</td><td class="column-8">32.3%</td><td class="column-9">0.2%</td>
</tr>
<tr class="row-7 odd">
	<td class="column-1">6</td><td class="column-2">Chevy Chase Village</td><td class="column-3">$466,049</td><td class="column-4">DC</td><td class="column-5">1,953</td><td class="column-6">93.4%</td><td class="column-7">1.6%</td><td class="column-8">2.8%</td><td class="column-9">0.5%</td>
</tr>
<tr class="row-8 even">
	<td class="column-1">7</td><td class="column-2">Potomac Manors-Carderock</td><td class="column-3">$426,634</td><td class="column-4">DC</td><td class="column-5">5,330</td><td class="column-6">77.1%</td><td class="column-7">14.5%</td><td class="column-8">4.2%</td><td class="column-9">2.1%</td>
</tr>
<tr class="row-9 odd">
	<td class="column-1">8</td><td class="column-2">Port Royal</td><td class="column-3">$415,286</td><td class="column-4">Naples</td><td class="column-5">1,730</td><td class="column-6">96.1%</td><td class="column-7">1.2%</td><td class="column-8">1.9%</td><td class="column-9">0.1%</td>
</tr>
<tr class="row-10 even">
	<td class="column-1">9</td><td class="column-2">Sands Point</td><td class="column-3">$404,670</td><td class="column-4">NYC</td><td class="column-5">2,675</td><td class="column-6">84.7%</td><td class="column-7">8.2%</td><td class="column-8">4.7%</td><td class="column-9">0.7%</td>
</tr>
<tr class="row-11 odd">
	<td class="column-1">10</td><td class="column-2">Brookville</td><td class="column-3">$400,113</td><td class="column-4">NYC</td><td class="column-5">3,465</td><td class="column-6">71.7%</td><td class="column-7">10.1%</td><td class="column-8">6.3%</td><td class="column-9">10.7%</td>
</tr>
<tr class="row-12 even">
	<td class="column-1">11</td><td class="column-2">Oyster Bay Cove</td><td class="column-3">$385,230</td><td class="column-4">NYC</td><td class="column-5">2,197</td><td class="column-6">86.9%</td><td class="column-7">8.5%</td><td class="column-8">2.2%</td><td class="column-9">1.5%</td>
</tr>
<tr class="row-13 odd">
	<td class="column-1">12</td><td class="column-2">Westover Hills</td><td class="column-3">$385,047</td><td class="column-4">Fort Worth</td><td class="column-5">682</td><td class="column-6">95.6%</td><td class="column-7">1.8%</td><td class="column-8">1.2%</td><td class="column-9">0.1%</td>
</tr>
<tr class="row-14 even">
	<td class="column-1">13</td><td class="column-2">Hidden Hills</td><td class="column-3">$383,731</td><td class="column-4">Los Angeles</td><td class="column-5">1,856</td><td class="column-6">87.4%</td><td class="column-7">2.1%</td><td class="column-8">6.6%</td><td class="column-9">1.9%</td>
</tr>
<tr class="row-15 odd">
	<td class="column-1">14</td><td class="column-2">Hunters Creek Village</td><td class="column-3">$382,168</td><td class="column-4">Houston</td><td class="column-5">4,367</td><td class="column-6">86.7%</td><td class="column-7">6.0%</td><td class="column-8">4.5%</td><td class="column-9">1.1%</td>
</tr>
<tr class="row-16 even">
	<td class="column-1">15</td><td class="column-2">Belle Haven-Indian Harbor</td><td class="column-3">$380,036</td><td class="column-4">NYC</td><td class="column-5">1,733</td><td class="column-6">86.6%</td><td class="column-7">4.4%</td><td class="column-8">6.7%</td><td class="column-9">1.0%</td>
</tr>
<tr class="row-17 odd">
	<td class="column-1">16</td><td class="column-2">North Greenwich</td><td class="column-3">$379,501</td><td class="column-4">NYC</td><td class="column-5">21,596</td><td class="column-6">86.2%</td><td class="column-7">5.6%</td><td class="column-8">5.5%</td><td class="column-9">1.0%</td>
</tr>
<tr class="row-18 even">
	<td class="column-1">17</td><td class="column-2">Old Field</td><td class="column-3">$378,848</td><td class="column-4">NYC</td><td class="column-5">918</td><td class="column-6">87.0%</td><td class="column-7">6.3%</td><td class="column-8">2.8%</td><td class="column-9">0.9%</td>
</tr>
<tr class="row-19 odd">
	<td class="column-1">18</td><td class="column-2">Rolling Hills</td><td class="column-3">$373,524</td><td class="column-4">Los Angeles</td><td class="column-5">1,860</td><td class="column-6">74.1%</td><td class="column-7">16.2%</td><td class="column-8">5.5%</td><td class="column-9">1.5%</td>
</tr>
<tr class="row-20 even">
	<td class="column-1">19</td><td class="column-2">Manalapan</td><td class="column-3">$371,069</td><td class="column-4">Palm Beach</td><td class="column-5">406</td><td class="column-6">89.9%</td><td class="column-7">1.2%</td><td class="column-8">4.7%</td><td class="column-9">3.9%</td>
</tr>
<tr class="row-21 odd">
	<td class="column-1">20</td><td class="column-2">Plandome</td><td class="column-3">$369,328</td><td class="column-4">NYC</td><td class="column-5">1,349</td><td class="column-6">92.8%</td><td class="column-7">3.6%</td><td class="column-8">2.2%</td><td class="column-9">0.8%</td>
</tr>
<tr class="row-22 even">
	<td class="column-1">21</td><td class="column-2">Rancho Santa Fe</td><td class="column-3">$369,026</td><td class="column-4">San Diego</td><td class="column-5">3,117</td><td class="column-6">57.4%</td><td class="column-7">2.8%</td><td class="column-8">5.6%</td><td class="column-9">0.3%</td>
</tr>
<tr class="row-23 odd">
	<td class="column-1">22</td><td class="column-2">Old Greenwich</td><td class="column-3">$364,743</td><td class="column-4">NYC</td><td class="column-5">5,263</td><td class="column-6">87.6%</td><td class="column-7">4.4%</td><td class="column-8">4.7%</td><td class="column-9">0.8%</td>
</tr>
<tr class="row-24 even">
	<td class="column-1">23</td><td class="column-2">Centre Island</td><td class="column-3">$361,754</td><td class="column-4">NYC</td><td class="column-5">410</td><td class="column-6">88.3%</td><td class="column-7">3.7%</td><td class="column-8">7.3%</td><td class="column-9">0.0%</td>
</tr>
<tr class="row-25 odd">
	<td class="column-1">24</td><td class="column-2">Muttontown</td><td class="column-3">$361,732</td><td class="column-4">NYC</td><td class="column-5">3,497</td><td class="column-6">71.1%</td><td class="column-7">22.7%</td><td class="column-8">3.4%</td><td class="column-9">1.5%</td>
</tr>
<tr class="row-26 even">
	<td class="column-1">25</td><td class="column-2">Hewlett Bay Park</td><td class="column-3">$361,626</td><td class="column-4">NYC</td><td class="column-5">404</td><td class="column-6">88.1%</td><td class="column-7">5.7%</td><td class="column-8">5.4%</td><td class="column-9">0.0%</td>
</tr>
<tr class="row-27 odd">
	<td class="column-1">26</td><td class="column-2">Scarsdale</td><td class="column-3">$360,584</td><td class="column-4">NYC</td><td class="column-5">17,166</td><td class="column-6">79.5%</td><td class="column-7">12.9%</td><td class="column-8">3.9%</td><td class="column-9">1.4%</td>
</tr>
<tr class="row-28 even">
	<td class="column-1">27</td><td class="column-2">Orchid</td><td class="column-3">$355,712</td><td class="column-4">Vero Beach</td><td class="column-5">415</td><td class="column-6">98.6%</td><td class="column-7">0.0%</td><td class="column-8">1.4%</td><td class="column-9">0.0%</td>
</tr>
<tr class="row-29 odd">
	<td class="column-1">28</td><td class="column-2">Diable Grande-Henry Coe St Park</td><td class="column-3">$355,693</td><td class="column-4">San Francisco</td><td class="column-5">1,144</td><td class="column-6">59.7%</td><td class="column-7">4.5%</td><td class="column-8">30.1%</td><td class="column-9">0.9%</td>
</tr>
<tr class="row-30 even">
	<td class="column-1">29</td><td class="column-2">Bel Air Estates</td><td class="column-3">$355,007</td><td class="column-4">Los Angeles</td><td class="column-5">8,261</td><td class="column-6">80.8%</td><td class="column-7">8.2%</td><td class="column-8">5.1%</td><td class="column-9">1.7%</td>
</tr>
<tr class="row-31 odd">
	<td class="column-1">30</td><td class="column-2">Munsey Park</td><td class="column-3">$352,510</td><td class="column-4">NYC</td><td class="column-5">2,693</td><td class="column-6">88.4%</td><td class="column-7">6.4%</td><td class="column-8">3.2%</td><td class="column-9">0.4%</td>
</tr>
<tr class="row-32 even">
	<td class="column-1">31</td><td class="column-2">Newport Coast</td><td class="column-3">$351,753</td><td class="column-4">Los Angeles</td><td class="column-5">7,246</td><td class="column-6">71.7%</td><td class="column-7">18.7%</td><td class="column-8">4.7%</td><td class="column-9">0.5%</td>
</tr>
<tr class="row-33 odd">
	<td class="column-1">32</td><td class="column-2">Pound Ridge-Scotts Corner</td><td class="column-3">$345,550</td><td class="column-4">NYC</td><td class="column-5">5,104</td><td class="column-6">90.4%</td><td class="column-7">1.9%</td><td class="column-8">4.6%</td><td class="column-9">1.3%</td>
</tr>
<tr class="row-34 even">
	<td class="column-1">33</td><td class="column-2">Windsor Farms-Wilton</td><td class="column-3">$343,803</td><td class="column-4">Richmond</td><td class="column-5">2,378</td><td class="column-6">97.2%</td><td class="column-7">0.3%</td><td class="column-8">0.4%</td><td class="column-9">0.8%</td>
</tr>
<tr class="row-35 odd">
	<td class="column-1">34</td><td class="column-2">Coldstream</td><td class="column-3">$343,731</td><td class="column-4">Cincinnati</td><td class="column-5">1,173</td><td class="column-6">94.1%</td><td class="column-7">1.8%</td><td class="column-8">2.5%</td><td class="column-9">0.9%</td>
</tr>
<tr class="row-36 even">
	<td class="column-1">35</td><td class="column-2">Old Westbury</td><td class="column-3">$342,550</td><td class="column-4">NYC</td><td class="column-5">4,671</td><td class="column-6">63.2%</td><td class="column-7">12.3%</td><td class="column-8">6.8%</td><td class="column-9">15.2%</td>
</tr>
<tr class="row-37 odd">
	<td class="column-1">36</td><td class="column-2">Glendale-Belleview</td><td class="column-3">$342,500</td><td class="column-4">DC</td><td class="column-5">7,105</td><td class="column-6">72.7%</td><td class="column-7">18.5%</td><td class="column-8">3.5%</td><td class="column-9">2.1%</td>
</tr>
<tr class="row-38 even">
	<td class="column-1">37</td><td class="column-2">Atherton</td><td class="column-3">$340,915</td><td class="column-4">San Francisco</td><td class="column-5">6,914</td><td class="column-6">78.2%</td><td class="column-7">13.2%</td><td class="column-8">3.9%</td><td class="column-9">1.0%</td>
</tr>
<tr class="row-39 odd">
	<td class="column-1">38</td><td class="column-2">Kenilworth</td><td class="column-3">$340,814</td><td class="column-4">Chicago</td><td class="column-5">2,513</td><td class="column-6">96.0%</td><td class="column-7">1.3%</td><td class="column-8">1.6%</td><td class="column-9">0.3%</td>
</tr>
<tr class="row-40 even">
	<td class="column-1">39</td><td class="column-2">Los Altos Hills</td><td class="column-3">$338,932</td><td class="column-4">San Francisco</td><td class="column-5">7,922</td><td class="column-6">66.1%</td><td class="column-7">26.6%</td><td class="column-8">2.7%</td><td class="column-9">0.5%</td>
</tr>
<tr class="row-41 odd">
	<td class="column-1">40</td><td class="column-2">Piney Point Village</td><td class="column-3">$338,560</td><td class="column-4">Houston</td><td class="column-5">3,125</td><td class="column-6">81.3%</td><td class="column-7">11.0%</td><td class="column-8">4.5%</td><td class="column-9">1.5%</td>
</tr>
<tr class="row-42 even">
	<td class="column-1">41</td><td class="column-2">Old Preston Hollow</td><td class="column-3">$338,351</td><td class="column-4">Dallas</td><td class="column-5">2,462</td><td class="column-6">89.3%</td><td class="column-7">3.0%</td><td class="column-8">5.3%</td><td class="column-9">0.8%</td>
</tr>
<tr class="row-43 odd">
	<td class="column-1">42</td><td class="column-2">Washington Crossing</td><td class="column-3">$338,016</td><td class="column-4">Philadelphia</td><td class="column-5">1,251</td><td class="column-6">93.7%</td><td class="column-7">1.6%</td><td class="column-8">2.6%</td><td class="column-9">0.8%</td>
</tr>
<tr class="row-44 even">
	<td class="column-1">43</td><td class="column-2">Addison Reserve Country Club</td><td class="column-3">$336,886</td><td class="column-4">Palm Beach</td><td class="column-5">1,786</td><td class="column-6">94.0%</td><td class="column-7">1.1%</td><td class="column-8">3.4%</td><td class="column-9">0.6%</td>
</tr>
<tr class="row-45 odd">
	<td class="column-1">44</td><td class="column-2">McLean Hamlet-The Reserve</td><td class="column-3">$336,039</td><td class="column-4">DC</td><td class="column-5">4,592</td><td class="column-6">75.1%</td><td class="column-7">16.4%</td><td class="column-8">3.7%</td><td class="column-9">1.7%</td>
</tr>
<tr class="row-46 even">
	<td class="column-1">45</td><td class="column-2">Bannockburn</td><td class="column-3">$335,803</td><td class="column-4">Chicago</td><td class="column-5">1,583</td><td class="column-6">74.9%</td><td class="column-7">13.8%</td><td class="column-8">3.3%</td><td class="column-9">5.9%</td>
</tr>
<tr class="row-47 odd">
	<td class="column-1">46</td><td class="column-2">Gladwyne</td><td class="column-3">$335,493</td><td class="column-4">Philadelphia</td><td class="column-5">5,020</td><td class="column-6">91.7%</td><td class="column-7">4.0%</td><td class="column-8">1.7%</td><td class="column-9">1.4%</td>
</tr>
<tr class="row-48 even">
	<td class="column-1">47</td><td class="column-2">Spring Valley-Palisades</td><td class="column-3">$333,852</td><td class="column-4">DC</td><td class="column-5">7,175</td><td class="column-6">80.9%</td><td class="column-7">6.2%</td><td class="column-8">6.1%</td><td class="column-9">3.5%</td>
</tr>
<tr class="row-49 odd">
	<td class="column-1">48</td><td class="column-2">Avenal-Clewerall</td><td class="column-3">$333,695</td><td class="column-4">DC</td><td class="column-5">5,602</td><td class="column-6">75.8%</td><td class="column-7">12.6%</td><td class="column-8">5.2%</td><td class="column-9">3.9%</td>
</tr>
<tr class="row-50 even">
	<td class="column-1">49</td><td class="column-2">Cherry Hills Village</td><td class="column-3">$333,620</td><td class="column-4">Denver</td><td class="column-5">5,987</td><td class="column-6">92.1%</td><td class="column-7">2.3%</td><td class="column-8">3.2%</td><td class="column-9">0.7%</td>
</tr>
<tr class="row-51 odd">
	<td class="column-1">50</td><td class="column-2">Short Hills</td><td class="column-3">$332,693</td><td class="column-4">NYC</td><td class="column-5">13,165</td><td class="column-6">79.4%</td><td class="column-7">15.4%</td><td class="column-8">2.4%</td><td class="column-9">0.9%</td>
</tr>
<tr class="row-52 even">
	<td class="column-1">51</td><td class="column-2">The Village of Indian Hill</td><td class="column-3">$331,732</td><td class="column-4">Cincinnati</td><td class="column-5">5,785</td><td class="column-6">90.9%</td><td class="column-7">5.7%</td><td class="column-8">1.6%</td><td class="column-9">0.7%</td>
</tr>
<tr class="row-53 odd">
	<td class="column-1">52</td><td class="column-2">River Oaks</td><td class="column-3">$331,641</td><td class="column-4">Houston</td><td class="column-5">8,028</td><td class="column-6">86.0%</td><td class="column-7">4.4%</td><td class="column-8">6.9%</td><td class="column-9">1.9%</td>
</tr>
<tr class="row-54 even">
	<td class="column-1">53</td><td class="column-2">Highland Park</td><td class="column-3">$330,032</td><td class="column-4">Dallas</td><td class="column-5">8,564</td><td class="column-6">91.6%</td><td class="column-7">2.8%</td><td class="column-8">4.0%</td><td class="column-9">0.4%</td>
</tr>
<tr class="row-55 odd">
	<td class="column-1">54</td><td class="column-2">North Key Largo-Ocean Reef Club</td><td class="column-3">$329,530</td><td class="column-4">Miami</td><td class="column-5">1,244</td><td class="column-6">90.8%</td><td class="column-7">1.2%</td><td class="column-8">5.5%</td><td class="column-9">2.1%</td>
</tr>
<tr class="row-56 even">
	<td class="column-1">55</td><td class="column-2">Potomac Village-Falconhurst</td><td class="column-3">$328,371</td><td class="column-4">DC</td><td class="column-5">4,579</td><td class="column-6">72.0%</td><td class="column-7">16.2%</td><td class="column-8">4.7%</td><td class="column-9">4.5%</td>
</tr>
<tr class="row-57 odd">
	<td class="column-1">56</td><td class="column-2">Upper Laurel Canyon</td><td class="column-3">$328,332</td><td class="column-4">Los Angeles</td><td class="column-5">3,499</td><td class="column-6">86.4%</td><td class="column-7">3.6%</td><td class="column-8">5.0%</td><td class="column-9">1.8%</td>
</tr>
<tr class="row-58 even">
	<td class="column-1">57</td><td class="column-2">Hillsborough</td><td class="column-3">$327,784</td><td class="column-4">San Francisco</td><td class="column-5">10,825</td><td class="column-6">64.2%</td><td class="column-7">28.0%</td><td class="column-8">3.4%</td><td class="column-9">0.4%</td>
</tr>
<tr class="row-59 odd">
	<td class="column-1">58</td><td class="column-2">Chenequa</td><td class="column-3">$327,728</td><td class="column-4">Milwaukee</td><td class="column-5">590</td><td class="column-6">95.9%</td><td class="column-7">0.8%</td><td class="column-8">1.0%</td><td class="column-9">0.2%</td>
</tr>
<tr class="row-60 even">
	<td class="column-1">59</td><td class="column-2">Beverly Hills North (90210)</td><td class="column-3">$327,173</td><td class="column-4">Los Angeles</td><td class="column-5">9,016</td><td class="column-6">84.6%</td><td class="column-7">4.6%</td><td class="column-8">5.4%</td><td class="column-9">1.2%</td>
</tr>
<tr class="row-61 odd">
	<td class="column-1">60</td><td class="column-2">Lloyd Harbor</td><td class="column-3">$326,295</td><td class="column-4">NYC</td><td class="column-5">3,660</td><td class="column-6">92.3%</td><td class="column-7">2.2%</td><td class="column-8">3.3%</td><td class="column-9">0.9%</td>
</tr>
<tr class="row-62 even">
	<td class="column-1">61</td><td class="column-2">Eastover</td><td class="column-3">$325,891</td><td class="column-4">Charlotte</td><td class="column-5">3,627</td><td class="column-6">96.8%</td><td class="column-7">0.5%</td><td class="column-8">1.4%</td><td class="column-9">0.4%</td>
</tr>
<tr class="row-63 odd">
	<td class="column-1">62</td><td class="column-2">Greenfield Hill</td><td class="column-3">$325,032</td><td class="column-4">NYC</td><td class="column-5">4,443</td><td class="column-6">93.2%</td><td class="column-7">2.0%</td><td class="column-8">2.4%</td><td class="column-9">1.0%</td>
</tr>
<tr class="row-64 even">
	<td class="column-1">63</td><td class="column-2">Upper East Side</td><td class="column-3">$323,188</td><td class="column-4">NYC</td><td class="column-5">37,346</td><td class="column-6">87.8%</td><td class="column-7">4.7%</td><td class="column-8">4.9%</td><td class="column-9">1.0%</td>
</tr>
<tr class="row-65 odd">
	<td class="column-1">64</td><td class="column-2">Langley</td><td class="column-3">$321,764</td><td class="column-4">DC</td><td class="column-5">2,732</td><td class="column-6">78.3%</td><td class="column-7">13.0%</td><td class="column-8">5.1%</td><td class="column-9">1.3%</td>
</tr>
<tr class="row-66 even">
	<td class="column-1">65</td><td class="column-2">Benedict Canyon-Beverly Park</td><td class="column-3">$318,246</td><td class="column-4">Los Angeles</td><td class="column-5">4,362</td><td class="column-6">83.4%</td><td class="column-7">6.2%</td><td class="column-8">4.3%</td><td class="column-9">2.0%</td>
</tr>
<tr class="row-67 odd">
	<td class="column-1">66</td><td class="column-2">Powers Ferry</td><td class="column-3">$317,999</td><td class="column-4">Atlanta</td><td class="column-5">4,977</td><td class="column-6">90.0%</td><td class="column-7">2.6%</td><td class="column-8">2.9%</td><td class="column-9">3.2%</td>
</tr>
<tr class="row-68 even">
	<td class="column-1">67</td><td class="column-2">Winnetka</td><td class="column-3">$317,862</td><td class="column-4">Chicago</td><td class="column-5">12,187</td><td class="column-6">93.0%</td><td class="column-7">3.3%</td><td class="column-8">2.2%</td><td class="column-9">0.3%</td>
</tr>
<tr class="row-69 odd">
	<td class="column-1">68</td><td class="column-2">Bronxville</td><td class="column-3">$317,645</td><td class="column-4">NYC</td><td class="column-5">6,323</td><td class="column-6">87.1%</td><td class="column-7">5.2%</td><td class="column-8">4.4%</td><td class="column-9">1.3%</td>
</tr>
<tr class="row-70 even">
	<td class="column-1">69</td><td class="column-2">Chestnut Hill-Buttonwood Village</td><td class="column-3">$316,998</td><td class="column-4">Boston</td><td class="column-5">4,441</td><td class="column-6">79.5%</td><td class="column-7">12.0%</td><td class="column-8">3.9%</td><td class="column-9">2.5%</td>
</tr>
<tr class="row-71 odd">
	<td class="column-1">70</td><td class="column-2">Linden Park-Lindenwood</td><td class="column-3">$316,730</td><td class="column-4">Omaha</td><td class="column-5">2,192</td><td class="column-6">76.1%</td><td class="column-7">5.8%</td><td class="column-8">4.9%</td><td class="column-9">10.3%</td>
</tr>
<tr class="row-72 even">
	<td class="column-1">71</td><td class="column-2">Tanglewood</td><td class="column-3">$316,343</td><td class="column-4">Houston</td><td class="column-5">4,591</td><td class="column-6">83.8%</td><td class="column-7">4.5%</td><td class="column-8">8.1%</td><td class="column-9">2.0%</td>
</tr>
<tr class="row-73 odd">
	<td class="column-1">72</td><td class="column-2">Woodside</td><td class="column-3">$316,019</td><td class="column-4">San Francisco</td><td class="column-5">5,287</td><td class="column-6">86.1%</td><td class="column-7">6.3%</td><td class="column-8">4.6%</td><td class="column-9">0.4%</td>
</tr>
<tr class="row-74 even">
	<td class="column-1">73</td><td class="column-2">Mill Neck</td><td class="column-3">$314,149</td><td class="column-4">NYC</td><td class="column-5">997</td><td class="column-6">85.2%</td><td class="column-7">6.1%</td><td class="column-8">5.7%</td><td class="column-9">1.2%</td>
</tr>
<tr class="row-75 odd">
	<td class="column-1">74</td><td class="column-2">Shaker Heights NW Estate Sect.</td><td class="column-3">$311,062</td><td class="column-4">Cleveland</td><td class="column-5">2,478</td><td class="column-6">84.7%</td><td class="column-7">4.0%</td><td class="column-8">1.5%</td><td class="column-9">7.6%</td>
</tr>
<tr class="row-76 even">
	<td class="column-1">75</td><td class="column-2">Riverside</td><td class="column-3">$310,896</td><td class="column-4">NYC</td><td class="column-5">4,894</td><td class="column-6">87.2%</td><td class="column-7">4.5%</td><td class="column-8">6.2%</td><td class="column-9">0.4%</td>
</tr>
<tr class="row-77 odd">
	<td class="column-1">76</td><td class="column-2">Brentwood</td><td class="column-3">$310,575</td><td class="column-4">Los Angeles</td><td class="column-5">17,019</td><td class="column-6">83.2%</td><td class="column-7">6.6%</td><td class="column-8">5.2%</td><td class="column-9">1.4%</td>
</tr>
<tr class="row-78 even">
	<td class="column-1">77</td><td class="column-2">Bunker Hill Village</td><td class="column-3">$310,572</td><td class="column-4">Houston</td><td class="column-5">3,633</td><td class="column-6">82.6%</td><td class="column-7">9.7%</td><td class="column-8">5.6%</td><td class="column-9">0.3%</td>
</tr>
<tr class="row-79 odd">
	<td class="column-1">78</td><td class="column-2">Lake Sherwood</td><td class="column-3">$310,550</td><td class="column-4">Los Angeles</td><td class="column-5">1,527</td><td class="column-6">86.5%</td><td class="column-7">6.6%</td><td class="column-8">3.4%</td><td class="column-9">0.3%</td>
</tr>
<tr class="row-80 even">
	<td class="column-1">79</td><td class="column-2">Matinecock</td><td class="column-3">$309,598</td><td class="column-4">NYC</td><td class="column-5">810</td><td class="column-6">89.8%</td><td class="column-7">2.0%</td><td class="column-8">6.2%</td><td class="column-9">1.7%</td>
</tr>
<tr class="row-81 odd">
	<td class="column-1">80</td><td class="column-2">Lost Tree CC-Seminole Landing</td><td class="column-3">$308,413</td><td class="column-4">Palm Beach</td><td class="column-5">1,098</td><td class="column-6">95.9%</td><td class="column-7">0.8%</td><td class="column-8">2.0%</td><td class="column-9">0.7%</td>
</tr>
<tr class="row-82 even">
	<td class="column-1">81</td><td class="column-2">Southport North</td><td class="column-3">$307,906</td><td class="column-4">NYC</td><td class="column-5">2,841</td><td class="column-6">93.3%</td><td class="column-7">2.4%</td><td class="column-8">2.3%</td><td class="column-9">0.8%</td>
</tr>
<tr class="row-83 odd">
	<td class="column-1">82</td><td class="column-2">Somerset</td><td class="column-3">$307,425</td><td class="column-4">DC</td><td class="column-5">1,216</td><td class="column-6">87.7%</td><td class="column-7">3.9%</td><td class="column-8">4.8%</td><td class="column-9">0.7%</td>
</tr>
<tr class="row-84 even">
	<td class="column-1">83</td><td class="column-2">Laurel Hollow</td><td class="column-3">$306,297</td><td class="column-4">NYC</td><td class="column-5">1,952</td><td class="column-6">87.5%</td><td class="column-7">7.6%</td><td class="column-8">2.3%</td><td class="column-9">1.5%</td>
</tr>
<tr class="row-85 odd">
	<td class="column-1">84</td><td class="column-2">Preston Royal</td><td class="column-3">$304,679</td><td class="column-4">Dallas</td><td class="column-5">1,987</td><td class="column-6">90.5%</td><td class="column-7">3.5%</td><td class="column-8">4.3%</td><td class="column-9">0.8%</td>
</tr>
<tr class="row-86 even">
	<td class="column-1">85</td><td class="column-2">Alpine</td><td class="column-3">$303,938</td><td class="column-4">NYC</td><td class="column-5">1,849</td><td class="column-6">64.7%</td><td class="column-7">26.1%</td><td class="column-8">4.8%</td><td class="column-9">2.4%</td>
</tr>
<tr class="row-87 odd">
	<td class="column-1">86</td><td class="column-2">Plandome Manor</td><td class="column-3">$302,943</td><td class="column-4">NYC</td><td class="column-5">872</td><td class="column-6">89.1%</td><td class="column-7">6.1%</td><td class="column-8">2.5%</td><td class="column-9">0.1%</td>
</tr>
<tr class="row-88 even">
	<td class="column-1">87</td><td class="column-2">Bradley Manor-Green Tree Manor</td><td class="column-3">$302,799</td><td class="column-4">DC</td><td class="column-5">2,677</td><td class="column-6">76.5%</td><td class="column-7">10.8%</td><td class="column-8">6.6%</td><td class="column-9">2.7%</td>
</tr>
<tr class="row-89 odd">
	<td class="column-1">88</td><td class="column-2">Castle Pines</td><td class="column-3">$302,583</td><td class="column-4">Denver</td><td class="column-5">3,614</td><td class="column-6">92.0%</td><td class="column-7">3.1%</td><td class="column-8">2.4%</td><td class="column-9">1.1%</td>
</tr>
<tr class="row-90 even">
	<td class="column-1">89</td><td class="column-2">Roslyn Harbor</td><td class="column-3">$302,140</td><td class="column-4">NYC</td><td class="column-5">1,051</td><td class="column-6">79.7%</td><td class="column-7">11.8%</td><td class="column-8">5.3%</td><td class="column-9">1.4%</td>
</tr>
<tr class="row-91 odd">
	<td class="column-1">90</td><td class="column-2">Lido Island</td><td class="column-3">$301,711</td><td class="column-4">Los Angeles</td><td class="column-5">1,626</td><td class="column-6">92.1%</td><td class="column-7">2.0%</td><td class="column-8">4.6%</td><td class="column-9">0.2%</td>
</tr>
<tr class="row-92 even">
	<td class="column-1">91</td><td class="column-2">Mission Hills</td><td class="column-3">$301,687</td><td class="column-4">Kansas City</td><td class="column-5">3,498</td><td class="column-6">95.3%</td><td class="column-7">1.4%</td><td class="column-8">1.8%</td><td class="column-9">0.2%</td>
</tr>
<tr class="row-93 odd">
	<td class="column-1">92</td><td class="column-2">Central Menlo Park</td><td class="column-3">$300,220</td><td class="column-4">San Francisco</td><td class="column-5">5,498</td><td class="column-6">84.9%</td><td class="column-7">7.1%</td><td class="column-8">3.9%</td><td class="column-9">0.2%</td>
</tr>
<tr class="row-94 even">
	<td class="column-1">93</td><td class="column-2">Glencoe</td><td class="column-3">$299,369</td><td class="column-4">Chicago</td><td class="column-5">8,723</td><td class="column-6">92.0%</td><td class="column-7">2.7%</td><td class="column-8">2.7%</td><td class="column-9">1.2%</td>
</tr>
<tr class="row-95 odd">
	<td class="column-1">94</td><td class="column-2">Hewlett Neck</td><td class="column-3">$299,344</td><td class="column-4">NYC</td><td class="column-5">445</td><td class="column-6">91.5%</td><td class="column-7">2.0%</td><td class="column-8">2.0%</td><td class="column-9">3.8%</td>
</tr>
<tr class="row-96 even">
	<td class="column-1">95</td><td class="column-2">Bent Tree-Oakdale</td><td class="column-3">$298,930</td><td class="column-4">Dallas</td><td class="column-5">2,294</td><td class="column-6">82.7%</td><td class="column-7">8.8%</td><td class="column-8">4.3%</td><td class="column-9">2.9%</td>
</tr>
<tr class="row-97 odd">
	<td class="column-1">96</td><td class="column-2">Preston Hollow</td><td class="column-3">$296,693</td><td class="column-4">Dallas</td><td class="column-5">7,001</td><td class="column-6">87.1%</td><td class="column-7">4.1%</td><td class="column-8">5.8%</td><td class="column-9">1.0%</td>
</tr>
<tr class="row-98 even">
	<td class="column-1">97</td><td class="column-2">Portola Valley</td><td class="column-3">$296,255</td><td class="column-4">San Francisco</td><td class="column-5">4,353</td><td class="column-6">88.2%</td><td class="column-7">5.6%</td><td class="column-8">4.0%</td><td class="column-9">0.3%</td>
</tr>
<tr class="row-99 odd">
	<td class="column-1">98</td><td class="column-2">Bradley Hills-Greenwich Forest</td><td class="column-3">$295,946</td><td class="column-4">DC</td><td class="column-5">3,858</td><td class="column-6">87.2%</td><td class="column-7">4.4%</td><td class="column-8">5.1%</td><td class="column-9">1.6%</td>
</tr>
<tr class="row-100 even">
	<td class="column-1">99</td><td class="column-2">Gulf Stream</td><td class="column-3">$295,901</td><td class="column-4">Palm Beach</td><td class="column-5">786</td><td class="column-6">94.1%</td><td class="column-7">0.6%</td><td class="column-8">4.3%</td><td class="column-9">0.3%</td>
</tr>
<tr class="row-101 odd">
	<td class="column-1">100</td><td class="column-2">Chesterbrook</td><td class="column-3">$294,657</td><td class="column-4">DC</td><td class="column-5">3,253</td><td class="column-6">84.3%</td><td class="column-7">6.3%</td><td class="column-8">4.9%</td><td class="column-9">1.5%</td>
</tr>
</tbody>
</table>
<!-- #tablepress-6 from cache -->
<p>The 83 metro areas that had neighborhoods or suburbs in the 2010 Higley 1000 showed some dramatic changes as well as some surprisingly large changes. At the top of the list, New York City continues to dominate with 228 places. Washington DC saw a dramatic increase from 5th to 2nd place, even outpacing twice as large Los Angeles. This may be reflective of the fact that Washington DC suffered little during the latest Bush Recession. As might be expected Detroit and Cleveland dropped in the metro rankings and fast growing places such as Phoenix and Las Vegas saw large increases that reflect the economic changes in the United States over the last 10 years.</p>
<p>The extraordinary increase in Asians moving into the Higley 1000 neighborhoods is changing the face of many American neighborhoods. A full 21.1% of the residents in San Francisco&#8217;s 75 places are Asian-Americans. Surprisingly 14.2% of Houston&#8217;s 26 Higley 1000 neighborhoods are also Asian-American. The Miami area&#8217;s elite suburbs are now 44.7% Latino and although there is still a heavy presence of cubans, the real growth in Miami has been from other Latino countries in Central and South America. African-American&#8217;s have shown real progress over the last 10 years in moving into the Higley 1000 places, but progress is disconcertingly slow. The Washington DC area has the highest population of affluent Blacks (4.7%). The addition of one elite neighborhood in Shreveport, Louisiana (Pierremont) gives this metro area a population that is 19.2%. This is an outlier to paucity of African-Americans in America&#8217;s highest income places.</p>
<p>&nbsp;</p>
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		<title>Fifteen Up &amp; Coming Places of Affluence in the United States</title>
		<link>http://higley1000.com/archives/494</link>
		<comments>http://higley1000.com/archives/494#comments</comments>
		<pubDate>Tue, 20 Sep 2011 15:20:11 +0000</pubDate>
		<dc:creator>Stephen Higley</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://higley1000.com/?p=494</guid>
		<description><![CDATA[I am waiting for the American Community Survey of 2005-10 to update the Higley 1000. However, there are some new places that are bubbling up as possible neighborhoods when the new Higley 1000 is created anew next year. A database by &#8220;Caspio&#8221; and published on the web by G. Scott Thomas on the website The [...]]]></description>
				<content:encoded><![CDATA[<p>I am waiting for the American Community Survey of 2005-10 to update the Higley 1000. However, there are some new places that are bubbling up as possible neighborhoods when the new Higley 1000 is created anew next year. A database by &#8220;Caspio&#8221; and published on the web by <strong>G. Scott Thomas</strong> on the website <a title="The Business Journal on Numbers" href="http://www.bizjournals.com/bizjournals/on-numbers/" target="_blank"><strong>The Business Journal on Numbers</strong></a> brought together 12 categories on income, education and house values to come up with a ranking of affluence for over 14,400 communities with at least 1,000 residents. <a title="Chevy Chase Village Ranks as America's Most Affluent Community" href="http://www.bizjournals.com/bizjournals/on-numbers/scott-thomas/2011/09/chevy-chase-village-ranks-as-americas.html" target="_blank">The article</a> appeared on the web on September 16th and it rated <strong>Chevy Chase Village</strong> just outside of the District of Columbia, as the most affluent village in the land. The unfortunate community of <strong>East Fork, Arizona</strong> came in dead last. </p>
<p>Below is a map of the United States with 15 places of new concentrations of wealth or older one&#8217;s that are moving up the ranking tables. A short synopsis of each place is provided by clicking on the map markers.</p>
<p>Why these particular 15? Some are witnessing renewal through teardowns and remodelings. Two of them (<strong>Kiawah Island, South Carolina</strong> and <strong>Spring Lake, New Jersey</strong>) represent the trend for summer home places to become first homes where the Census counts income. Similarly, <strong>East Hampton, Water Mill, Northwest Harbor, and Southampton</strong> on Long Island have seen their rankings of affluence climb due to this trend. These communities did not make the list due to the fact that not enough of the new affluent homeowners have moved to these places to statistically overwhelm the lower income locals engaged in servicing the much larger seasonal population.</p>
<p>Only two on the list of 15 are truly &#8220;new&#8221;: <strong>Darnestown, Maryland</strong>, an exurban extension of the <strong>Bethesda-Potomac-Travilah corridor</strong>, and <strong>Del Rio</strong>, a country club development found just north of the California&#8217;s central valley city of Modesto.</p>
<p><iframe width="640" height="480" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?msa=0&amp;msid=203780771787586073043.0004ad24c07c9c7970f62&amp;ie=UTF8&amp;t=m&amp;vpsrc=0&amp;ll=40.178873,-97.734375&amp;spn=32.098994,56.25&amp;z=4&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?msa=0&amp;msid=203780771787586073043.0004ad24c07c9c7970f62&amp;ie=UTF8&amp;t=m&amp;vpsrc=0&amp;ll=40.178873,-97.734375&amp;spn=32.098994,56.25&amp;z=4&amp;source=embed" style="color:#0000FF;text-align:left">15 Up &amp; Coming Places of Affluence</a> in a larger map</small></p>
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		<title>The Wealthy Neighborhoods of Birmingham, Alabama</title>
		<link>http://higley1000.com/archives/29</link>
		<comments>http://higley1000.com/archives/29#comments</comments>
		<pubDate>Tue, 07 Jun 2011 16:48:47 +0000</pubDate>
		<dc:creator>Stephen Higley</dc:creator>
				<category><![CDATA[Metro Briefs]]></category>
		<category><![CDATA[Racial Diversity]]></category>

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		<description><![CDATA[An Overview of the Metro Area Birmingham has indeed come a long way in its relatively brief history. Born in the aftermath of the Civil War (1871), the city quickly burgeoned into the iron and steel industry&#8217;s &#8220;Pittsburgh of the South&#8221; by the early 20th Century. The city&#8217;s explosive growth in its first forty years [...]]]></description>
				<content:encoded><![CDATA[<p><strong>An Overview of the Metro Area</strong></p>
<p>Birmingham has indeed come a long way in its relatively brief history. Born in the aftermath of the Civil War (1871), the city quickly burgeoned into the iron and steel industry&#8217;s &#8220;Pittsburgh of the South&#8221; by the early 20th Century. The city&#8217;s explosive growth in its first forty years earned it the nickname of the &#8220;Magic City&#8221;. Although it soon became the state&#8217;s largest city, Birmingham has always been considered a brash industrial upstart by the more genteel antebellum cities of Mobile and Montgomery.</p>
<p>Birmingham&#8217;s reliance on the iron and steel industry would be a curse and a blessing as dependence on one industry would lead to a boom and bust cycle throughout most of the 20th Century. During the last 20 years the steel industry has waned to secondary importance as Birmingham has pegged its future to banking and medicine.</p>
<p>The banking industry of Birmingham has recently succumbed to the on-going national trend in bank consolidation and three of it&#8217;s four largest banks have changed form.<strong> Southtrust </strong>was swallowed by <strong>Wachovia</strong> which was  in turn forced into <strong>Wells Fargo</strong>. <strong>Regions Bank</strong> bought their slightly smaller rival <strong>AmSouth</strong>. The smallest of the four largest banks, <strong>Compass</strong>, retains it&#8217;s name but is now owned by a Spanish bank. Voila! There is now only one large bank headquartered in Birmingham: Regions Bank. As of June 30, 2009, Regions was the 10th largest bank in the United States with deposits of $93.7 million.</p>
<p>The <strong>University of Alabama-Birmingham</strong>&#8216;s large medical center is nationally recognized as a leader in many specialties and has been critical to the stabilization of the central city. The university itself was essentially grafted onto the medical center and has blossomed into a respectable urban university in spite of weak state support. The city also has two highly regarded large Baptist hospitals and St. Vincent&#8217;s, a very large formerly Catholic hospital.</p>
<p>The city is located in Jones Valley in the foothills of the Appalachians, and the bulk of the city limits lies in the flat lands of the valley. Upscale neighborhoods developed along the flanks of Red Mountain in the early part of the twentieth century as the city&#8217;s aristocracy escaped the industrial pollution and captured today&#8217;s panoramic views. Don&#8217;t bother looking for expensive housing north, east or west of the city; the upscale development of the metro region is found along U.S. Highway 280 to the Southeast of the city. The upscale neighborhoods in this area are very beautiful due to the rugged, heavily wooded topography. Homes are built along the sides, in the valleys and on the crests of Red, Shades, and Oak Mountains. Of course, Birmingham has no real &#8220;mountains,&#8221; but none-the-less, these three rather steep, heavily wooded Appalachian ridges make for very attractive suburbs and neighborhoods. Suburban sprawl has brought development to the flanks of a fourth Appalachian ridge, Double Oak Mountain.</p>
<p><strong>Higley 1000 Neighborhoods in the Greater Birmingham Metro Area</strong><br />
<iframe width="500" height="400" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;s=AARTsJprJsxi1Acenc7Ms8GjoZsiKtJ1KA&amp;msa=0&amp;msid=109694166348599969067.000442840fa146e9e66cd&amp;ll=33.449777,-86.691055&amp;spn=0.229166,0.343323&amp;z=11&amp;output=embed"></iframe><br /><small><a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.000442840fa146e9e66cd&amp;ll=33.449777,-86.691055&amp;spn=0.229166,0.343323&amp;z=11&amp;source=embed" style="color:#0000FF;text-align:left">View Larger Map</a></small></p>
<p>Birmingham will forever be tainted by its fierce and violent resistance to racial integration. Although the city&#8217;s race relations have progressed along the lines of the rest of the nation, a social and cultural gulf between whites and blacks persists. White flight from the central city (now 73.5% black) continued at a torrid pace during the 1990s with the white population dropping from 91,000 to 58,000. This trend continues into the new Century as the American Community Survey estimates the White population at 48,000 in 2006. The Birmingham city schools are over 99% black, heralding ever more residential segregation. Social and religious life in Birmingham is almost completely segregated. <strong>Mountain Brook</strong>, easily Birmingham&#8217;s most prestigious suburb, is 98.1% Non-Hispanic White. Even <strong>Forest Park</strong>, a city neighborhood that is much more liberal than the suburbs in outlook and voting, is 96.2% Non-Hispanic white. Unfortunately, there is a latent and sometimes outright hostility between Black Birmingham and the White suburbs.</p>
<p><strong>The Arrival and Demise of Hurricane Larry (Langford)</strong></p>
<p>In November of 2007 Birmingham began a new era with the election of <strong>Larry Langford</strong> as Mayor. Langford is a controversial character in local politics. Vainglorious and egotistical, he started his political career as the mayor of Fairfield, a struggling, small poor Black suburb adjacent to Birmingham that is famous as the location of the formerly huge US Steel works. Langford spent profusely in Fairfield leaving the small poor city struggling financially to pay off a new city hall and civic center. A man of unbounded ambition, he soon jumped to the Jefferson County Commission where he made waves and headlines by creating what may have been one of the most unusual fiascos in the annals of county governance by railroading through an amusement park with public money. He named his brainstorm <strong>Visionland</strong> and it was a disaster from the get-go. After $90 million of taxpayers money was poured into this albatross that was in a dreadful location, this money hemorrhaging loser was sold to a private developer for $5 million and rechristened <strong>Alabama</strong> <strong>Adventure</strong>. Commissioner Langford also raised the sales tax in Jefferson County to an astronomical 10% to finance a vast rebuilding of the Jefferson County school buildings. As head of the county commission he reigned over the rebuilding of the county&#8217;s sewer system that has saddled the county with $3.2 billion dollars in debt after he pursued a policy of debt swaps and was hoodwinked by the city slicker bankers in New York City. Look for the largest municipal bankruptcy in the history of the United States when Jefferson County goes under. It is not a matter of whether it will happen&#8230;. it is just when. As of June 2011, the Jefferson County Commission has managed to stave off bankruptcy for now, but it is only a matter of time.</p>
<p>Langford was indicted in 2009 for taking $238,000 in bribes for steering the Jefferson County bond business to a brokerage firm run by the highly connected Blount family in Montgomery. The trial, that began on August 31st, 2009 and the jury quickly found Mayor Langford guilty. He has begun serving a 15 year term in a federal penitentiary.</p>
<p>Langford brief tenure was a whirlwind of activity. He immediately raised taxes and &#8220;found&#8221; money to start an incredible array of initiatives that are too numerous to catalog here.  One bad idea that preceded Langford was the quest for a domed stadium downtown&#8230; a sort Visionland Stadium that will push the envelope with a half a billion dollars of additional debt. No professional teams would consider relocating to Birmingham as the market is too small. If the stadium is ever built, Birmingham will have a gold plated stadium that will be used for gun shows and tractor pulls. Considering the impending bankruptcy of the County, the on-going financial problems of Birmingham and the intransigence of the White suburban counties and cities to help the central city, means that it is very unlikely that this boondoggle will ever be built.</p>
<p>Fortunately for Birmingham, Langford has been succeeded by <strong>William Bell</strong>, an honest career politician who has been tasked with cleaning up the mess left by his predecessor. Mr. Bell is just what Birmingham needs: professional, realistic, and willing to make some tough funding proposals to deal with a difficult economy and the accounting shenanigans of the brief Langford mayoralty. Bell has been forthright in wrestling with a $77 million deficit. He has proposed some tough cutbacks and it will be up to the city council to come up with a better plan for fixing the problem.</p>
<p>One notable and timely Langford intervention has been in the local &#8220;mass transit system&#8221;. I use quotation marks in that what passes for mass transit in Birmingham is a joke. The local bus system is an embarrassment and Langford proposed non-existent money money for 100 new buses and 8 antique trolley cars that Prague, Czech Republic is trying to unload on the rubes of Alabama. Fortunately, the city council decided the street cars might have to wait and that harebrained scheme seems to have been put to rest. The 100 buses never materialized (surprise) as the money that was given to the mass transit district had to be used to cover a whopping budget deficit and makeup for lost federal transit subsidies.</p>
<p>Whether it is a bus system that actually works, or some other combination mass transit system, a source of dedicated revenue is necessary beyond sales tax increases. Sales taxes, in all of there regressive glory, are the only tax venue open to raising in Alabama without going through the completely corrupted Alabama state legislature. At 10% through much of the metro area, they have been raised to the breaking point.</p>
<p><strong>Taxes: The Third Rail of Alabama Politics</strong></p>
<p>Taxes are the third rail of Alabama politics. The state has the lowest per capita taxes in the United States and yet to hear the politicians talk, you&#8217;d think they we&#8217;re living in Massachusetts or Minnesota. No matter how horrible the schools are, no matter how inhumane the prisons, no matter how many federal court orders castigate the wretched public services of Alabama, Republicans and &#8220;Democrats&#8221; will not raise taxes in any meaningful way. One must remember that the difference between Republicans and Democrats in Alabama is negligible and laughable: they are both hard core right-wing conservatives. There is nary a Liberal or Progressive thought to be heard in any meaningful forum from the state legislature in Montgomery to the salons of Mountain Brook&#8230;</p>
<p>The voters have made themselves loud and clear on the issue of taxes and any politician that has the courage and audacity to speak the truth on taxes is in peril. Alabama&#8217;s current <strong>Governor, Bob Riley (R)</strong> lived to prove that it is possible to have a political life after proposing a tax increase, but he has a rare amount of courage in my humble estimation.)</p>
<p>Hence, it is difficult to make progress in any meaningful way. Progress on one front means another is neglected. And yet there is progress in an unplanned plodding kind of way.</p>
<p>Whether the domed stadium ever gets built, or the Olympics will choose Birmingham over Chicago,  this is a metro area that can&#8217;t even get the lights burning on the freeway system! Mayors have made promises about fixing our darkened byways ever since I have lived here and nothing ever happens. Whole sections of the freeway have no lights as all levels of government show that they are totally incompetent in solving this most complex of urban problems facing the 21st Century American city: changing light bulbs.</p>
<p>The state is mismanaged and under taxed and its antiquated 1910 Constitution gives local authorities little discretion in solving their financial problems. This inability to solve local problems is no more evident than in the U.S. Highway 280 corridor. The highway is the proverbial &#8220;golden goose&#8221; of Birmingham&#8217;s economic development, and it is literally being strangled to death by traffic. The 280 corridor has witnessed a boom in commercial, retail, and residential construction that has overwhelmed the six-lane commercial strip with grinding traffic. This strip of highway has become an unplanned overbuilt jumble and is as ugly as it is dysfunctional&#8230;. and still the developers build more&#8230;. while the politicians wring their hands and commission another study. Urban planners commit suicide after looking at 280. .</p>
<p>The highway runs through seven competing jurisdictions, and their cutthroat competition for sales tax revenue and unwillingness to control growth have made this an area to avoid for sane motorists. There&#8217;s nothing like crawling along behind giant SUVs (drill, baby drill) contemplating the <em>exhilaration</em> and <em>freedom</em> of the open road. The willing residents who live along 280 have no alternative routes to get to the CBD, and if the tolled, double-decked section is ever built, this future &#8220;improvement&#8221; will promise staggering traffic disruption as it is built. Oh well, as one local Realtor told me in downplaying the dreadful traffic on 280, &#8220;It&#8217;s no worse than Atlanta&#8221;.</p>
<p>I&#8217;ll let that speak for itself!</p>
<p>Not that any real improvement for 280 is actually in the planning stage&#8230;. The latest proposal is to double deck the highway from the end of the current commercial development to I-459. Opposition from the wealthy suburb of Mountain Brook extending the double decker toll road through their corporate limits would be ugly and especially problematic for 30 or 40 large/mansion homeowners as well as other more modest homeowners who were allowed to build too closely to such a major arterial (see lack of planning).</p>
<p>The city of Birmingham survived the loss of most of its white middle class by the shrewd stewardship and long-running tenure of the city&#8217;s first black mayor, Richard Arrington. Arrington made peace with the white business establishment and embarked on an aggressive annexation campaign that long-lassoed some of the most desirable commercial properties along the booming Highway 280 corridor. These include the wildly successful Summit, a <em>lifestyle</em> shopping center (essentially an upscale, heavily landscaped strip mall), a Target SuperCenter, and two struggling yet potentially successful older shopping centers, The recently remodeled Colonnade and Brook Highland, a somewhat forlorn shopping center in a perfect location.</p>
<p>These smart annexations were coupled with an aggressive defense of the central business district. There are currently more than 80,000 people working in the extended downtown&#8230; more than ever before in the 130-year history of the city. Unfortunately, this healthy employment base has not translated into a vibrant downtown: there is no significant retailing downtown, the department stores are long gone, and the streetscape is dominated by commercial property. The downtown is devoid of pedestrian traffic after dark.</p>
<p><strong>Operation New Birmingham</strong>, a joint local operation has been very successful in rescuing literally hundreds of vacant downtown buildings and finding new uses for them. Birmingham has managed to avoid the curse of Charlotte (whole scale demolition the old CBD). As law firms and architectural design firms have moved into the small and medium sized buildings, work is now in progress on some of the largest abandoned buildings. A wonderful old 1920s skyscraper, the City Federal Savings &amp; Loan is going condo. Similarly, there if hope that the long abandoned Thomas Jefferson Hotel will burst forth in all of its terra cotta beauty reincarnated as the Leer Tower, another condominium development. Leer Tower update: canceled due to recession.</p>
<p>There are few middle class residents in the city center, however, several hundred residential lofts have been constructed in the last few years and city officials are hopeful that these urban pioneers will be the vanguard of revitalization. The recent demolition of the huge, crime-infested Metropolitan Gardens public housing project and its replacement with a mixed-income, federally subsidized Hope VI housing development (Park Place) may augur well for Birmingham&#8217;s central business district. Nothing helps a downtown more than removing 900 crime and drug infested public housing units and replacing it with 580 units that are composed of 1/3 carefully vetted poor people and 2/3 market rate (that means lower middle class) apartments!</p>
<p><strong>The Wealthy Neighborhoods of Birmingham in the Higley 1000</strong></p>
<p>There are nine Higley 1000 neighborhoods in Birmingham: Two in the city, three in Birmingham&#8217;s premier upscale suburb of Mountain Brook, and four <em>standard issue</em> gated suburban fortresses.</p>
<p><strong>Forest Park and Redmont Park: Birmingham&#8217;s Two Elegant City Neighborhoods</strong><br />
<iframe width="525" height="500" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps?f=q&amp;hl=en&amp;geocode=&amp;q=http:%2F%2Fhigley1000.com%2Fkml%2FbyID%2F945.kml&amp;ie=UTF8&amp;s=AARTsJojnQ2bv5DNBfD6P6mhxZcAuochsQ&amp;ll=33.51349,-86.769419&amp;spn=0.01789,0.022573&amp;z=15&amp;output=embed"></iframe><br /><small><a href="http://maps.google.com/maps?f=q&amp;hl=en&amp;geocode=&amp;q=http:%2F%2Fhigley1000.com%2Fkml%2FbyID%2F945.kml&amp;ie=UTF8&amp;ll=33.51349,-86.769419&amp;spn=0.01789,0.022573&amp;z=15&amp;source=embed" style="color:#0000FF;text-align:left">View Larger Map of Forest Park</a></small>

<iframe width="500" height="450" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps?f=q&amp;hl=en&amp;geocode=&amp;q=http:%2F%2Fhigley1000.com%2Fkml%2FbyID%2F709.kml&amp;ie=UTF8&amp;s=AARTsJrQASPuZUqTeARWjW60PmNFhk41IQ&amp;ll=33.502898,-86.775341&amp;spn=0.032207,0.042915&amp;z=14&amp;output=embed"></iframe><br /><small><a href="http://maps.google.com/maps?f=q&amp;hl=en&amp;geocode=&amp;q=http:%2F%2Fhigley1000.com%2Fkml%2FbyID%2F709.kml&amp;ie=UTF8&amp;ll=33.502898,-86.775341&amp;spn=0.032207,0.042915&amp;z=14&amp;source=embed" style="color:#0000FF;text-align:left">View Larger Map of Redmont Park</a></small></p>
<p><strong>Forest Park</strong> and <strong>Redmont Park</strong> are urban neighborhoods on the city&#8217;s commonly called the &#8220;Southside&#8221;. They were both developed in the early 20th Century (1914 and 1925 respectively) and have flourished in the last twenty years. Forest Park suffered through the 1960s and 1970s only to return to its former glory through gentrification in the 1980s and 1990s. Redmont Park has some of Birmingham&#8217;s grandest mansions peering down on the city from Red Mountain, a steep 350 foot tall ridge that overlooks the city below. Both Redmont Park and Forest Park are very small with a few hundred homes each. They are also noteworthy in that in spite of the fact that the central city is 75% Black, they are even Whiter than the suburbs! Along with the contiguous gentrified neighborhood of <strong>Highland Park</strong>, these three neighborhoods are the only upscale places left in the central city.</p>
<p><strong>Mountain Brook: The Tiny Kingdom</strong></p>
<p>Mountain Brook is a large suburb with about 21,000 overwhelmingly Non-Hispanic White residents. Local wags refer to it as &#8220;The Tiny Kingdom&#8221; due to its insular culture and social dominance.</p>
<p>I have carved out three &#8220;neighborhoods&#8221; out of the wealthiest sections of the city. Two of these neighborhoods are centered and named after the two towering institutions of social prominence in Birmingham, the<strong> Mountain Brook Club </strong>and <strong>The Country Club of Birmingham. </strong>The third neighborhood in Mountain Brook I have dubbed <strong>Mountain Brook Estates-Canterbury</strong>. Mountain Brook Estates was really the start of this gilded suburb in the in-fortuitous year of 1929. For statistical purposes I have joined it with the adjacent neighborhood of Canterbury.</p>
<p><strong>Mountain Brook&#8217;s Higley 1000 Neighborhoods</strong></p>
<p><strong>Mountain Brook Estates-Canterbury</strong><br />
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<p><strong>The Country Club of Birmingham</strong><br />
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<br>
<strong>The Mountain Brook Club-Shook Hill</strong>
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<p>Mountain Brook, without question, is the place where Birmingham&#8217;s upper class lives along with a good portion of the metro area&#8217;s upper-middle class. Few wealthy suburbs in the United States command such a disproportionate majority of a metro areas wealthy and influential families.Â Mountain Brook has more than 80% of Birmingham&#8217;s <em>Social Register</em> families and anyone with a shred of social aspiration must live within its golden boundaries. It is a world apart from the crime infested streets of Birmingham and its genteel forested streets and clubs are truly a kingdom unto themselves.The Mountain Brook public school system is rated the highest in the state, and the suburb unquestionably has the largest number of Birmingham&#8217;s movers and shakers. It is home to the aforementioned blue-blooded Mountain Brook Club and the The Country Club of Birmingham as well as the social matrix of clubs and social alliances associated with the wealthy. The social system is difficult to break into in Mountain Brook unless one has a sterling pedigree. If you&#8217;re an internet entrepreneur from Boston&#8230; forget it&#8230; move to Greystone or Liberty Park. <em>Nouveau</em> <em>riche</em> households abound, but don&#8217;t hold your breath for an invitation to join the Mountain Brook Club!</p>
<p>As mentioned previously, Mountain Brook is incredibly white. Not one of the 62 African-Americans that lived in Mountain Brook in the 2000 Census was a householder. My guess is that they would mostly be live-in servants. There are plenty of well-to-do African-American families that could afford to live in Mountain Brook, however, they choose not to. This is a mystery I have not been able to figure out at this time. Anyone with some ideas, please leave a note below.</p>
<p><strong>Greystone and Liberty Park</strong></p>
<p>Greystone and Liberty Park are similar in that they are relatively new, gated master-planned communities centered on golf courses. They are both unusually large in scope and have developed neighborhoods with distinctly different price points. Of the two, Greystone has a wider range of single family houses ($200,000 to $3,000,000). Liberty Park is uniformly more expensive although it has a high end rental complex that is carefully segregated from the expensive single family homes. Each of these developments will have close to 3,000 housing units when complete, and a majority of those homes will be worth more than $500,000.</p>
<p><strong>Greystone</strong><br />
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Greystone is part of the suburb of Hoover, a large (70,000) and aggressively pro-growth suburb with the state&#8217;s third best school system. Located at the southern end of the 280 corridor, Greystone has been extremely successful in spite of worsening transportation problems associated with 280. I drew the boundaries for Greystone to include only the three high income gated sub-neighborhoods for the Higley 1000: two country club themed neighborhoods and a third (Greystone Ridge) with multi-million dollar view estates. There are hundreds of many more downscale houses available in Greystone&#8230;. houses as low as $200,000! Would that buy a pool house in Greenwich?</p>
<p><strong>Liberty Park</strong><br />
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<p>The second gated community in the Higley 1000 is called Liberty Park. If you can get past the hokey replica of the Statue of Liberty, this master planned community is located on a lovely patch of rolling wooded land that is ideal for beautiful homes. Liberty Park is part of Vestavia Hills, Birmingham&#8217;s second wealthiest suburb (after Mountain Brook) and its second highest rated school system. Vestavia Hills is a large (30,000) overwhelmingly white upper-middle class suburb with one exception, the recently annexed lower-middle class community of Cahaba Heights. The architecture of Cahaba Heights is unremitting expanses of dreadful post-war ranches. Cahaba Heights has a perfectly central location in the metro area and the physical environment is beautiful&#8230;. can you say TEARDOWN!?</p>
<p>The addition of Cahaba Heights to the corporate limits of Vestavia gave the city a geographic link to Liberty Park formerly a non-contiguous isolated piece of development. But that&#8217;s another story&#8230;..</p>
<p><strong>Highland Lakes</strong><br />
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<p>Highland Lakes, is a very large gated community located out the 280 corridor in the rolling Appalachian foothills south of the city. Highland Lakes is a planned development where every house essentially looks the same. The &#8220;lakes&#8221; are dammed (damned?)narrow valleys in the Appalachian foothills. As a native of Wisconsin, I can say with full-throated condescension, these puddles are only &#8220;lakes&#8221; in a developer&#8217;s dream! Highland Lakes is solely residential and will ultimately be home to thousands of people that live in a monument to Stepfordian socio-economic and Republican homogeneity.</p>
<p><strong>Shoal Creek-Stonegate Farms</strong><br />
<iframe width="450" height="450" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps?f=q&amp;hl=en&amp;geocode=&amp;q=http:%2F%2Fhigley1000.com%2Fkml%2FbyID%2F74.kml&amp;ie=UTF8&amp;s=AARTsJquXmWcWA9wUvTTYRXlWQv2h6U5ZA&amp;ll=33.435023,-86.602821&amp;spn=0.064464,0.077248&amp;z=13&amp;output=embed"></iframe><br /><small><a href="http://maps.google.com/maps?f=q&amp;hl=en&amp;geocode=&amp;q=http:%2F%2Fhigley1000.com%2Fkml%2FbyID%2F74.kml&amp;ie=UTF8&amp;ll=33.435023,-86.602821&amp;spn=0.064464,0.077248&amp;z=13&amp;source=embed" style="color:#0000FF;text-align:left">View Larger Map of Shoal Creek and Stonegate</a></small></p>
<p>The final Higley 1000 neighborhood is Shoal Creek, another gated golf community and the adjacent newly constructed gated community of Stonegate Farms. After more than twenty years of development, only about 90 of the 230 large wooded lots in Shoal Creek have had houses constructed on them. The development includes suburban Shelby County&#8217;s answer to Versailles, an over-the-top 45,000 square foot (empty) chateau built by a local entrepreneur. I think it&#8217;s visible from space. Years ago, Shoal Creek&#8217;s golf course gained some unwanted national attention when the PGA threatened to cancel a golf tournament at the club unless it was integrated. A token Black guy was recruited, given a membership, and the PGA was happy. The Club was technically integrated and the tournament proceeded. The token Black guy reported in a recent newspaper article that he was treated well at the club, but, unfortunately he died recently. Never fear though for Shoal Creek&#8217;s integration as they have found another Black guy to replace him that doesn&#8217;t caddy or mow the fairways.</p>
<p><strong>The Village of Mount Laurel</strong></p>
<p>Although not a Higley 1000 neighborhood, there is one newly developing community that merits mentioning. If you&#8217;re a fan of New Urbanist design principles, Mt. Laurel is a planned community in the middle stages of development on the far urban fringe of the metro area. Yes, suburban fringe, auto dependent New Urbanist design is a oxymoron, but it&#8217;s pretty. The question I would havd for the developers of Mt. Laurel is: when you jettison any pretension at having a mixed income community and build on the auto dependent fringe, can you still call yourself &#8220;New Urbanist&#8221;? Sales have been slow in spite of a charming and unusual design aesthetic. The general consensus is that it&#8217;s a bit pricey.. and no more than a cute architectural conceit for the upper-middle class.</p>
<p><strong>Homewood: Birmingham&#8217;s Coolest Suburb</strong></p>
<p>And finally, a word about one of my favorite of Birmingham&#8217;s suburbs, Homewood. Ideally located in the metro area, Homewood is a predominately lower-middle class suburb adjacent to Mountain Brook and Vestavia Hills. Most of Homewood is made up of well-maintained bungalows and small homes and it has a significant number of rental apartments. Thanks to a strong sales tax base, Homewood has managed to maintain a good school system and has continued to attract young families that have turned vast tracts of forgettable bungalows into beautifully remodeled houses in tidy wooded neighborhoods.</p>
<p>Homewood has two very interesting upscale neighborhoods: <strong>Mayfair</strong> &amp; <strong>Hollywood</strong>. Hollywood has a wonderful collection of stuccoed, flat roofed houses built in the 1920s that have been remodeled for the the 21st Century. I love Hollywood: great architecture and a great location. Mayfair is more traditional, with its rolling, heavily wooded landscape, it share&#8217;s Hollywood&#8217;s ideal location for getting anywhere in Birmingham.</p>
<p><strong>In Summary&#8230;.</strong></p>
<p>Birmingham is a very interesting town with a wide array of housing choices. This is but the first of my essays on Birmingham. After all, it has been my home town for 15 years and as an Urban Geographer, I have much to say about my adopted home. It is my fervent hope that I will be able to use my web site to express my critical thinking about the metro area.. something that is woefully absent from the boosterism so characteristic of what one finds published locally. <em><strong>The Birmingham News,</strong></em> an achingly Conservative newspaper does a fairly good job of covering the city and bankrupt county, but sounds like a the local arm of the Chamber of Commerce when covering the suburbs. I hope that my website counters the flackery and drivel that passes for journalism about the suburbs of our fair metro area.</p>
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		<title>Eric Fischer&#8217;s Racial Maps by Major Metro Areas</title>
		<link>http://higley1000.com/archives/365</link>
		<comments>http://higley1000.com/archives/365#comments</comments>
		<pubDate>Sun, 05 Jun 2011 19:51:18 +0000</pubDate>
		<dc:creator>Stephen Higley</dc:creator>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Metro Briefs]]></category>

		<guid isPermaLink="false">http://higley1000.com/?p=365</guid>
		<description><![CDATA[Eric Fischer has posted an extensive array of maps of each American metropolitan area&#8217;s racial distribution. As they are germane to my website, I have posted them in all their glory. Each red dot on the map represents Non-Hispanic Whites; each blue dot African-Americans; each gold dot represents Latinos; and,  each green dot represents Asian-Americans. [...]]]></description>
				<content:encoded><![CDATA[<p><strong>Eric Fischer</strong> has posted an extensive array of maps of each American metropolitan area&#8217;s racial distribution. As they are germane to my website, I have posted them in all their glory. Each red dot on the map represents Non-Hispanic Whites; each blue dot African-Americans; each gold dot represents Latinos; and,  each green dot represents Asian-Americans.</p>
<p>Please note that these superb maps are from the <strong>2000 Census</strong>. The comments left by most of the visitors to individual metro maps are often illuminating.</p>
<p>CLICK HERE TO SEE!  http://<a href="http://www.flickr.com/photos/walkingsf/sets/72157624812674967/detail/">www.flickr.com/photos/walkingsf/sets/72157624812674967/detail/<br />
</a></p>
<p>Mr. Fischer has updated the maps to take in account <strong>2010 Census</strong> data. The work and maps speak for themselves.</p>
<p>http://<a href="http://www.flickr.com/photos/walkingsf/sets/72157626354149574/detail/">www.flickr.com/photos/walkingsf/sets/72157626354149574/detail/</a></p>
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		<title>Fisher Island, Florida:  The Highest Average Income Suburb in the United States?</title>
		<link>http://higley1000.com/archives/380</link>
		<comments>http://higley1000.com/archives/380#comments</comments>
		<pubDate>Fri, 24 Dec 2010 14:35:10 +0000</pubDate>
		<dc:creator>Stephen Higley</dc:creator>
				<category><![CDATA[Exclusive Neighborhoods]]></category>
		<category><![CDATA[General]]></category>
		<category><![CDATA[Wealthy Micro Villages]]></category>

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		<description><![CDATA[Fisher Island, located off the southern tip of Miami Beach, has the highest mean income of any place in the United States according to the 2005-2009 American Community Survey. The ACS replaces the &#8220;long form&#8221; that sampled socioeconomic data in previous censuses. Fisher Island is unusual in many respects as it can only be reached [...]]]></description>
				<content:encoded><![CDATA[<p><strong>Fisher Island</strong>, located off the southern tip of <strong>Miami Beach</strong>, has the highest mean income of any place in the United States according to the <strong>2005-2009 American Community Survey</strong>. The ACS replaces the &#8220;long form&#8221; that sampled socioeconomic data in previous censuses. Fisher Island is unusual in many respects as it can only be reached by ferry and consists of 687 condominiums and a mere 8 single family homes. Only 226 of the 695 units are occupied by permanent residents. The Per Capita Income is also the highest in the United States at $355,136.</p>
<p>However, the Census Bureau seems to have totally blown its 2010 count of the island. Somehow, the number of housing units on the island dropped from 695 in the ACS 2005-9 to 226 in the 2010 Census (63 permanent/130 vacant/21 for rent). I guess the bad economy has resulted in hundreds of multi-million dollar condos being razed. Of course, I&#8217;m being facetious&#8230; but I cannot get any answers from the Census Bureau nor the Miami-Dade Planning Commission as to why 2/3 of the housing stock disappeared in one year. The count of housing units in the 2000 Census was 498. Although the ACS is an estimate, theoretically, the housing count for 2000 and 2010 are supposed to be exact. It is clear from a casual perusal of Google Maps (see below) that there has been no mass destruction</p>
<p>In June of 2011, 133 of the almost 700 units are currently on the market. This fact, in itself, is extraordinary. Elite neighborhoods have not suffered the same fate as lower-middle class and working class neighborhoods during the George W. Bush Recession.</p>
<p>Tiny one bedroom/one bath units (465 Square Feet) on the island are currently available for as little as $180,000. The most luxurious units range up to capacious 7 bedroom units with 7,000 square feet of living space. While the pleasantly homogeneous architecture has a modern Mediterranean motif, the buildings that house the units have finely graded price points. It is difficult to generalize on price as the vast majority of the units have custom finishes that result in wildly different asking prices. A review of properties currently for sale on Fisher Island on Zillow.com shows that an &#8220;average&#8221; island condo (3 bed/3 bath) has an asking price of between $1.5 and $2 million dollars. The most expensive condo that is currently for sale is on the market for $30 million. It may be wishful thinking as it has been on the market for quite some time. According to Zillow, one of the few single family homes is on the market for $16,900,000.</p>
<p>The Census estimates that there are 425 Non-Hispanic Whites and 15 Mexican-Americans in residence. Twenty-nine of the 226 households have incomes between $35,000 and $50,000, these householders are undoubtedly on-island caretakers. My guess is that some of the tiny units are aimed at some of the fortunate(?) service workers. At any rate, an income in the $35-50,000 range would put any of the island&#8217;s real estate far beyond the resources of domestic workers.</p>
<p>As you might expect, Fisher Island is a very unique place. The fact that the housing stock is almost all condominiums is very unusual for the communities that have the highest average incomes. The typical community on the list, is overwhelmingly made up of single family homes&#8230; in other words, traditional suburbia.</p>
<p>There are also a large number of condos on the other two resort towns on the list (<strong>North Key Largo</strong> and <strong>Kiawah Island</strong>). In both of these towns, there are hundreds of single family homes that are valued at more than $1 million dollars.</p>
<p>Fisher Island must not be confused with the <em>very</em> upper class, summer home haven of <strong>Fishers Island</strong> on Long Island Sound. Fisher Island, Florida is the epitome of the <em>nouveau riche.</em></p>
<p><strong>Map #1: Fisher Island, Florida</strong></p>
<p><strong><iframe width="475" height="500" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps?f=q&amp;source=s_q&amp;hl=en&amp;geocode=&amp;q=http:%2F%2Fhigley1000.com%2Fkml%2FkmlOut%2FMiami_Fisher-IslandOut.kml&amp;sll=41.270874,-71.97993&amp;sspn=0.136762,0.215607&amp;ie=UTF8&amp;ll=25.760011,-80.141315&amp;spn=0.019325,0.020385&amp;z=15&amp;output=embed"></iframe><br /><small><a href="http://maps.google.com/maps?f=q&amp;source=embed&amp;hl=en&amp;geocode=&amp;q=http:%2F%2Fhigley1000.com%2Fkml%2FkmlOut%2FMiami_Fisher-IslandOut.kml&amp;sll=41.270874,-71.97993&amp;sspn=0.136762,0.215607&amp;ie=UTF8&amp;ll=25.760011,-80.141315&amp;spn=0.019325,0.020385&amp;z=15" style="color:#0000FF;text-align:left">View Larger Map</a></small><br />
</strong></p>
<p>According to Wikipedia, Fisher Island was created in Biscayne Bay as a result of dredging and land reclamation projects around Miami Beach. It is named for the prominent Miami real estate developer, Carl G. Fisher who became the owner of the island in 1919. Fisher traded the island to William Kissam Vanderbilt II for a yacht and was the location of a single mansion for many decades. After several changes in ownership, Fisher Island began to be seriously developed in the 1980s and has over the years attracted many celebrities such as Oprah Winfrey, Boris Becker, Julia Roberts, and Mel Brooks. The island attempted to incorporate in 2005 but was denied this status by the Miami-Dade Commission.</p>
<p><strong>Diablo, California: Gated Privilege outside of San Francisco</strong></p>
<p>Diablo, California has the second highest mean household income of all places in the United States  Diablo is an unincorporated suburb 35 east of San Francisco in suburban Contra Costa County. It consists of 347 single family homes and 43 townhouses in a gated, planned community built around the Diablo Country Club. Diablo is located in the foothills of Mount Diablo, a 3,864 foot mountain that dominates the eastern vista of the bay area.</p>
<p>Diablo can be considered a poster child for the Census Bureau&#8217;s haphazard way of designating unincorporated areas as Census Designated Places (CDPs). Although Diablo was originally built before the area was heavily developed, it is now part of the sprawl that refused to be annexed into the relatively recently incorporated wealthy city of <strong>Danville</strong>. Danville has an estimated population of 40,950 and with a mean household income of $193,353. It is very affluent by any American standard. Directly west of Diablo is the CDP of <strong>Alamo</strong> (17,992 population, $218,072 mean household income). Alamo consists of a succession of affluent subdivisions between Walnut Creek and Danville. To the west of Danville and Diablo is the sprawl of &#8220;<strong>Blackhawk-Camino Tassajara</strong>&#8221; (10,336 population, $214,832). The Blackhawk-Camino Tassajara area consists of the planned luxury Blackhawk community and numerous upscale tag along subdivisions that make up the Camino Tassajara part of the name. Oh the indignity of having your &#8220;community&#8221; named for a street! There actually is a country crossroads called Tassajara, but, as of yet, the sprawl has not quite reached that far east. The mainly gated Blackhawk is built around the obligatory golf club and was planned to eventually have 2,400 units. It is a bit different than Diablo in that not all of the houses associated with the development are in the +$1 million range.</p>
<p>In sum, there are any number of luxurious gated subdivisions across the United States that if considered a separate community for statistical purposes, might challenge Diablo&#8217;s number two status.  Being California, a million dollars for a house doesn&#8217;t go a long way. However, it is still the highest category that the Census Bureau recognizes. Danville has 3,710 home in the million plus category. Alamo has 2,217; Blackhawk-Camino Tassajara has 2,328; and Diablo has 331 out of its 400 homes in the million dollar plus range.</p>
<p>Diablo does have its own identity in the area as it has been around for quite some time. The largest number of houses were built in the 1960s and it was only built out in the most recent decade. Diablo is a quiet community and that is the way the owners like it. I&#8217;m sure that the Diabloans will be loathe to be named the &#8220;suburb&#8221; with the second highest mean household income in America! Thank heaven for the gates to keep riff raff like me from gawking!</p>
<p><strong>Map 2: Danville and its Unincorporated Satellites: Alamo, Diablo, and Blackhawk-Camino Tassajara</strong></p>
<p><strong><iframe width="530" height="450" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=203780771787586073043.000497d7ae456444cb7b7&amp;ll=37.826599,-121.957855&amp;spn=0.242434,0.363235&amp;z=11&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=203780771787586073043.000497d7ae456444cb7b7&amp;ll=37.826599,-121.957855&amp;spn=0.242434,0.363235&amp;z=11&amp;source=embed" style="color:#0000FF;text-align:left">Diablo, Danville, Alamo &amp; Blackhawk</a> in a larger map</small><br />
</strong></p>
<p>As mentioned above, 96 out of the 100 places on the list are found in major metro areas. In addition to Fisher Islands unusual provenance there is #74 Kiawah Island, a planned resort community on a barrier island relatively close to Charleston, South Carolina. It is an incorporated community in its own right. Number 31 on the list is North Key Largo, an unincorporated place on the island of Key Largo. It is largely made up of the Ocean Reef Club, a posh second home destination just south of Miami-Dade. North Key Largo is in Monroe County, most noted for the city of Key West. With the exception of some higher priced outliers, the waterfront homes run in the $3-5 million range in both communities.</p>
<p>The third place that does note neatly fit into the suburban definition is <strong>Jupiter Island, Florida</strong>. Jupiter Island is #3 on the list and it is located in what the Census calls the Micropolitan area of <strong>Stuart, Florida</strong>. Stuart is the business hub of Martin County. Jupiter Island is also located on a barrier island and is renowned for its large and elegant waterfront estates. In many ways Jupiter Island is the antithesis of Palm Beach, its glitzier neighbor to the south. Life on Jupiter Island centers around the very <em>Social Register</em> Jupiter Island Club and its hallmark is quiet elegance. It is a club that is very difficult to join unless you are from a &#8220;proper&#8221; family. The ability to maintain the island&#8217;s upper class exclusivity is not iron clad. The professional golfer Greg Norman built a 17,800 square foot house, &#8220;Tranquility&#8221;, that is on the market for $65,000,000. Further ruining Jupiter Island&#8217;s reputation, Tiger Woods recently put the finishing touches on his $50 million dollar home in November of 2010.</p>
<p><strong><strong>Table 1: The 100 Places in America with the Highest Mean Household Income<br />
</strong>(American Community Survey 2005-9)</strong></p>
<p><strong> </p>
<table class="wptable rowstyle-alt" id="wptable-51"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:30px" align="center">RANK</th>
		<th class="sortable" style="width:150px" align="center">PLACE</th>
		<th class="sortable" style="width:70px" align="center">MEAN HOUSEHOLD INCOME</th>
		<th class="sortable" style="width:150px" align="center">LOCATER</th>
	</tr>
	</thead>
	<tr>
		<td style="width:30px" align="center">1</td>
		<td style="width:150px" align="center">Fisher Island</td>
		<td style="width:70px" align="center">$682,985</td>
		<td style="width:150px" align="center">Miami</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">2</td>
		<td style="width:150px" align="center">Diablo</td>
		<td style="width:70px" align="center">$601,238</td>
		<td style="width:150px" align="center">San Francisco-Oakland</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">3</td>
		<td style="width:150px" align="center">Jupiter Island</td>
		<td style="width:70px" align="center">$467,408</td>
		<td style="width:150px" align="center">Stuart, FL</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">4</td>
		<td style="width:150px" align="center">Chevy Chase Village</td>
		<td style="width:70px" align="center">$466,702</td>
		<td style="width:150px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">5</td>
		<td style="width:150px" align="center">Hunting Valley</td>
		<td style="width:70px" align="center">$436,186</td>
		<td style="width:150px" align="center">Cleveland</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">6</td>
		<td style="width:150px" align="center">Brookville</td>
		<td style="width:70px" align="center">$429,525</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">7</td>
		<td style="width:150px" align="center">Westover Hills</td>
		<td style="width:70px" align="center">$398,883</td>
		<td style="width:150px" align="center">Fort Worth</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">8</td>
		<td style="width:150px" align="center">Hidden Hills</td>
		<td style="width:70px" align="center">$385,536</td>
		<td style="width:150px" align="center">Los Angeles</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">9</td>
		<td style="width:150px" align="center">Oyster Bay Cove</td>
		<td style="width:70px" align="center">$384,963</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">10</td>
		<td style="width:150px" align="center">Kenilworth</td>
		<td style="width:70px" align="center">$382,188</td>
		<td style="width:150px" align="center">Chicago</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">11</td>
		<td style="width:150px" align="center">Munsey Park</td>
		<td style="width:70px" align="center">$380,882</td>
		<td style="width:150px" align="center">Manhasset, NY</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">12</td>
		<td style="width:150px" align="center">Hunters Creek Village</td>
		<td style="width:70px" align="center">$373,367</td>
		<td style="width:150px" align="center">Houston</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">13</td>
		<td style="width:150px" align="center">Rolling Hills</td>
		<td style="width:70px" align="center">$369,876</td>
		<td style="width:150px" align="center">Los Angeles</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">14</td>
		<td style="width:150px" align="center">Bedford Village</td>
		<td style="width:70px" align="center">$366,254</td>
		<td style="width:150px" align="center">Westchester County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">15</td>
		<td style="width:150px" align="center">Barton Creek</td>
		<td style="width:70px" align="center">$365,465</td>
		<td style="width:150px" align="center">Austin</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">16</td>
		<td style="width:150px" align="center">Plandome</td>
		<td style="width:70px" align="center">$365,228</td>
		<td style="width:150px" align="center">Port Washington, NY</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">17</td>
		<td style="width:150px" align="center">Pound Ridge</td>
		<td style="width:70px" align="center">$359,868</td>
		<td style="width:150px" align="center">Westchester County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">18</td>
		<td style="width:150px" align="center">Old Westbury</td>
		<td style="width:70px" align="center">$356,056</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">19</td>
		<td style="width:150px" align="center">Muttontown</td>
		<td style="width:70px" align="center">$353,476</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">20</td>
		<td style="width:150px" align="center">Atherton</td>
		<td style="width:70px" align="center">$349,716</td>
		<td style="width:150px" align="center">Silicon Valley</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">21</td>
		<td style="width:150px" align="center">Woodside</td>
		<td style="width:70px" align="center">$349,630</td>
		<td style="width:150px" align="center">Silicon Valley</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">22</td>
		<td style="width:150px" align="center">Plandome Manor</td>
		<td style="width:70px" align="center">$349,562</td>
		<td style="width:150px" align="center">Port Washington, NY</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">23</td>
		<td style="width:150px" align="center">Cherry Hills Village</td>
		<td style="width:70px" align="center">$346,678</td>
		<td style="width:150px" align="center">Denver</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">24</td>
		<td style="width:150px" align="center">Belle Meade</td>
		<td style="width:70px" align="center">$342,368</td>
		<td style="width:150px" align="center">Nashville</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">25</td>
		<td style="width:150px" align="center">Chenequa</td>
		<td style="width:70px" align="center">$341,146</td>
		<td style="width:150px" align="center">Milwaukee</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">26</td>
		<td style="width:150px" align="center">Bannockburn</td>
		<td style="width:70px" align="center">$339,645</td>
		<td style="width:150px" align="center">Chicago</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">27</td>
		<td style="width:150px" align="center">Lloyd Harbor</td>
		<td style="width:70px" align="center">$338,730</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">28</td>
		<td style="width:150px" align="center">Sands Point</td>
		<td style="width:70px" align="center">$337,881</td>
		<td style="width:150px" align="center">Manhasset, NY</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">29</td>
		<td style="width:150px" align="center">New Canaan</td>
		<td style="width:70px" align="center">$335,708</td>
		<td style="width:150px" align="center">Fairfield County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">30</td>
		<td style="width:150px" align="center">Old Field</td>
		<td style="width:70px" align="center">$334,086</td>
		<td style="width:150px" align="center">Suffolk County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">31</td>
		<td style="width:150px" align="center">Harding Township</td>
		<td style="width:70px" align="center">$333,582</td>
		<td style="width:150px" align="center">Morris County, NJ</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">32</td>
		<td style="width:150px" align="center">North Key Largo</td>
		<td style="width:70px" align="center">$332,992</td>
		<td style="width:150px" align="center">Miami-Dade</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">33</td>
		<td style="width:150px" align="center">Laurel Hollow</td>
		<td style="width:70px" align="center">$323,269</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">34</td>
		<td style="width:150px" align="center">Scarsdale</td>
		<td style="width:70px" align="center">$322,388</td>
		<td style="width:150px" align="center">Westchester County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">35</td>
		<td style="width:150px" align="center">Winnetka</td>
		<td style="width:70px" align="center">$319,268</td>
		<td style="width:150px" align="center">Chicago</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">36</td>
		<td style="width:150px" align="center">Piney Point Village</td>
		<td style="width:70px" align="center">$319,265</td>
		<td style="width:150px" align="center">Houston</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">37</td>
		<td style="width:150px" align="center">Manalapan</td>
		<td style="width:70px" align="center">$318,077</td>
		<td style="width:150px" align="center">Palm Beach</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">38</td>
		<td style="width:150px" align="center">Los Altos Hills</td>
		<td style="width:70px" align="center">$315,616</td>
		<td style="width:150px" align="center">Silicon Valley</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">39</td>
		<td style="width:150px" align="center">Hillsborough</td>
		<td style="width:70px" align="center">$314,457</td>
		<td style="width:150px" align="center">San Francisco</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">40</td>
		<td style="width:150px" align="center">Rancho Santa Fe</td>
		<td style="width:70px" align="center">$312,495</td>
		<td style="width:150px" align="center">San Diego</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">41</td>
		<td style="width:150px" align="center">Larchmont</td>
		<td style="width:70px" align="center">$311,884</td>
		<td style="width:150px" align="center">Westchester County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">42</td>
		<td style="width:150px" align="center">Travilah</td>
		<td style="width:70px" align="center">$311,242</td>
		<td style="width:150px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">43</td>
		<td style="width:150px" align="center">Upper Brookville</td>
		<td style="width:70px" align="center">$311,166</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">44</td>
		<td style="width:150px" align="center">Castle Pines</td>
		<td style="width:70px" align="center">$309,269</td>
		<td style="width:150px" align="center">Denver</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">45</td>
		<td style="width:150px" align="center">Village of Indian Hill</td>
		<td style="width:70px" align="center">$308,331</td>
		<td style="width:150px" align="center">Cincinnati</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">46</td>
		<td style="width:150px" align="center">Mission Hills</td>
		<td style="width:70px" align="center">$304,581</td>
		<td style="width:150px" align="center">Kansas City</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">47</td>
		<td style="width:150px" align="center">Glencoe</td>
		<td style="width:70px" align="center">$303,055</td>
		<td style="width:150px" align="center">Chicago</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">48</td>
		<td style="width:150px" align="center">Bronxville</td>
		<td style="width:70px" align="center">$297,310</td>
		<td style="width:150px" align="center">Westchester County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">49</td>
		<td style="width:150px" align="center">Alpine</td>
		<td style="width:70px" align="center">$296,514</td>
		<td style="width:150px" align="center">Bergen County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">50</td>
		<td style="width:150px" align="center">Mountain Lakes</td>
		<td style="width:70px" align="center">$295,869</td>
		<td style="width:150px" align="center">Morris County, NJ</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">51</td>
		<td style="width:150px" align="center">Chappaqua</td>
		<td style="width:70px" align="center">$293,154</td>
		<td style="width:150px" align="center">Westchester County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">52</td>
		<td style="width:150px" align="center">Weston</td>
		<td style="width:70px" align="center">$290,846</td>
		<td style="width:150px" align="center">Fairfield County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">53</td>
		<td style="width:150px" align="center">Darien</td>
		<td style="width:70px" align="center">$290,083</td>
		<td style="width:150px" align="center">Fairfield County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">54</td>
		<td style="width:150px" align="center">Bunker Hill Village</td>
		<td style="width:70px" align="center">$290,071</td>
		<td style="width:150px" align="center">Houston</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">55</td>
		<td style="width:150px" align="center">Roslyn Harbor</td>
		<td style="width:70px" align="center">$289,280</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">56</td>
		<td style="width:150px" align="center">Chevy Chase Town</td>
		<td style="width:70px" align="center">$287,814</td>
		<td style="width:150px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">57</td>
		<td style="width:150px" align="center">Saddle River</td>
		<td style="width:70px" align="center">$287,560</td>
		<td style="width:150px" align="center">Bergen County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">58</td>
		<td style="width:150px" align="center">Highland Park</td>
		<td style="width:70px" align="center">$287,298</td>
		<td style="width:150px" align="center">Dallas</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">59</td>
		<td style="width:150px" align="center">Somerset</td>
		<td style="width:70px" align="center">$286,600</td>
		<td style="width:150px" align="center">Washington DC</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">60</td>
		<td style="width:150px" align="center">Fox Chapel</td>
		<td style="width:70px" align="center">$286,325</td>
		<td style="width:150px" align="center">Pittsburgh</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">61</td>
		<td style="width:150px" align="center">Hewlett Harbor</td>
		<td style="width:70px" align="center">$285,829</td>
		<td style="width:150px" align="center">Five Towns, NY</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">62</td>
		<td style="width:150px" align="center">Chevy Chase Section 3</td>
		<td style="width:70px" align="center">$284,697</td>
		<td style="width:150px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">63</td>
		<td style="width:150px" align="center">Hilshire</td>
		<td style="width:70px" align="center">$284,421</td>
		<td style="width:150px" align="center">Houston</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">64</td>
		<td style="width:150px" align="center">Glenview</td>
		<td style="width:70px" align="center">$284,301</td>
		<td style="width:150px" align="center">Louisville</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">65</td>
		<td style="width:150px" align="center">Lake Success</td>
		<td style="width:70px" align="center">$283,117</td>
		<td style="width:150px" align="center">Nassau County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">66</td>
		<td style="width:150px" align="center">Mill Neck</td>
		<td style="width:70px" align="center">$282,625</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">67</td>
		<td style="width:150px" align="center">Great Falls</td>
		<td style="width:70px" align="center">$281,848</td>
		<td style="width:150px" align="center">Washington DC</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">68</td>
		<td style="width:150px" align="center">Lake Forest</td>
		<td style="width:70px" align="center">$280,172</td>
		<td style="width:150px" align="center">Chicago</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">69</td>
		<td style="width:150px" align="center">Lattington</td>
		<td style="width:70px" align="center">$278,699</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">70</td>
		<td style="width:150px" align="center">River Hills</td>
		<td style="width:70px" align="center">$278,681</td>
		<td style="width:150px" align="center">Milwaukee</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">71</td>
		<td style="width:150px" align="center">Sunfish Lake</td>
		<td style="width:70px" align="center">$278,463</td>
		<td style="width:150px" align="center">Minneapolis</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">72</td>
		<td style="width:150px" align="center">East Meadows</td>
		<td style="width:70px" align="center">$278,347</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">73</td>
		<td style="width:150px" align="center">Golden Beach</td>
		<td style="width:70px" align="center">$276,827</td>
		<td style="width:150px" align="center">Fort Lauderdale</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">74</td>
		<td style="width:150px" align="center">Kiawah Island</td>
		<td style="width:70px" align="center">$274,547</td>
		<td style="width:150px" align="center">South Carolina Coast</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">75</td>
		<td style="width:150px" align="center">Essex Fells</td>
		<td style="width:70px" align="center">$273,927</td>
		<td style="width:150px" align="center">Newark</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">76</td>
		<td style="width:150px" align="center">Flower Hill</td>
		<td style="width:70px" align="center">$273,752</td>
		<td style="width:150px" align="center">Manhasset</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">77</td>
		<td style="width:150px" align="center">South Barrington</td>
		<td style="width:70px" align="center">$271,366</td>
		<td style="width:150px" align="center">Chicago</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">78</td>
		<td style="width:150px" align="center">Roslyn Estates</td>
		<td style="width:70px" align="center">$270,274</td>
		<td style="width:150px" align="center">Nassau County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">79</td>
		<td style="width:150px" align="center">Briarcliffe Manor</td>
		<td style="width:70px" align="center">$268,983</td>
		<td style="width:150px" align="center">Westchester County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">80</td>
		<td style="width:150px" align="center">Clyde Hill</td>
		<td style="width:70px" align="center">$268,421</td>
		<td style="width:150px" align="center">Seattle</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">81</td>
		<td style="width:150px" align="center">Portola Valley</td>
		<td style="width:70px" align="center">$267,332</td>
		<td style="width:150px" align="center">Silicon Valley</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">82</td>
		<td style="width:150px" align="center">Bentleyville</td>
		<td style="width:70px" align="center">$266,796</td>
		<td style="width:150px" align="center">Cleveland</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">83</td>
		<td style="width:150px" align="center">Palos Verdes Estates</td>
		<td style="width:70px" align="center">$266,149</td>
		<td style="width:150px" align="center">Los Angeles</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">84</td>
		<td style="width:150px" align="center">Matinecock</td>
		<td style="width:70px" align="center">$262,828</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">85</td>
		<td style="width:150px" align="center">Plandome Heights</td>
		<td style="width:70px" align="center">$260,875</td>
		<td style="width:150px" align="center">Manhasset, NY</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">86</td>
		<td style="width:150px" align="center">Harbor Hills</td>
		<td style="width:70px" align="center">$260,335</td>
		<td style="width:150px" align="center">Great Neck, NY</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">87</td>
		<td style="width:150px" align="center">Old Brookville</td>
		<td style="width:70px" align="center">$259,912</td>
		<td style="width:150px" align="center">Long Island Gold Coast</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">88</td>
		<td style="width:150px" align="center">Pelham Manor</td>
		<td style="width:70px" align="center">$259,707</td>
		<td style="width:150px" align="center">Westchester County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">89</td>
		<td style="width:150px" align="center">Millburn (Short Hills)</td>
		<td style="width:70px" align="center">$259,656</td>
		<td style="width:150px" align="center">Newark</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">90</td>
		<td style="width:150px" align="center">Weston</td>
		<td style="width:70px" align="center">$259,612</td>
		<td style="width:150px" align="center">Boston</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">91</td>
		<td style="width:150px" align="center">Mendham Township</td>
		<td style="width:70px" align="center">$259,463</td>
		<td style="width:150px" align="center">Morris County, NJ</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">92</td>
		<td style="width:150px" align="center">Ross</td>
		<td style="width:70px" align="center">$258,815</td>
		<td style="width:150px" align="center">Marin County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">93</td>
		<td style="width:150px" align="center">Olmos Park</td>
		<td style="width:70px" align="center">$258,716</td>
		<td style="width:150px" align="center">San Antonio</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">94</td>
		<td style="width:150px" align="center">Martins Addition</td>
		<td style="width:70px" align="center">$258,022</td>
		<td style="width:150px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">95</td>
		<td style="width:150px" align="center">Medina</td>
		<td style="width:70px" align="center">$257,258</td>
		<td style="width:150px" align="center">Seattle</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">96</td>
		<td style="width:150px" align="center">Minnetonka Beach</td>
		<td style="width:70px" align="center">$256,983</td>
		<td style="width:150px" align="center">Minneapolis</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">97</td>
		<td style="width:150px" align="center">Gulf Stream</td>
		<td style="width:70px" align="center">$256,474</td>
		<td style="width:150px" align="center">Palm Beach</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">98</td>
		<td style="width:150px" align="center">Westport</td>
		<td style="width:70px" align="center">$256,417</td>
		<td style="width:150px" align="center">Fairfield County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">99</td>
		<td style="width:150px" align="center">Chevy Chase Section 5</td>
		<td style="width:70px" align="center">$254,676</td>
		<td style="width:150px" align="center">Washington DC</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">100</td>
		<td style="width:150px" align="center">Yarrow Point</td>
		<td style="width:70px" align="center">$254,322</td>
		<td style="width:150px" align="center">Seattle</td>
	</tr>
</table><p>
</strong></p>
<p>There are many considerations when looking at the list of places as an absolute measure of income. First and foremost, the Census only allows a household to claim approximately $2 million dollars as the highest amount of income. There are valid statistical reasons for limiting reported income. After all, Bill Gates would certainly affect the mean income of <strong>Medina, Washington</strong> (which come in 95th on the list). However, this is still a rather arbitrarily low figure and has not changed from the 2000 Census in spite of 25% inflation and the most massive shift of income to the wealthiest households in the history of the republic.</p>
<p><strong>Munsey Park #11 and Sands Point #28: Problems with the Data</strong></p>
<p>A good example of a couple of communities that make the statistics hard to understand are <strong>Sands Point</strong> and <strong>Munsey Park</strong> on Long Island. Munsey Park is ranked as the 11th wealthiest community in America (mean household income $380,882). Although Munsey Park is indeed a lovely place, it is inconceivable that it ends up ranked higher than nearby luxurious Sands Point (#28, mean household income: $337,871). Sands Point fronts much of the coastline of Long Island Sound on Manhasset Neck and is the home to a large number of Gatsbyesque waterfront mansions.</p>
<p>When looking at the list, it must be remembered that in small places there is a large margin of error for the statistics. In the case of Munsey Park it is plus or minus $61,000 for average household income. My estimation is that it is over by that amount. Although Munsey Park lacks the large eye popping waterfront mansions, it does have its own charms. The &#8220;alpha&#8221; street, Park Avenue is graced with elegant large homes.</p>
<p>The New York City Metro area is heavily over represented on the list as its suburbs, most particularly on Long Island are broken up into endless tiny incorporated suburbs. Because of this fragmentation, 42 of the 100 are from the New York City metro area. Long Island&#8217;s north shore has an almost contiguous string of 22 tiny villages from Great Neck to Lloyd Harbor on the list.</p>
<p>Yet another consideration for the reader perusing the list list is that large mansions with live-in staff quarters are counted as separate households and that fact may compromise mean household income. This may partly explain Sands Point&#8217;s lower rating than the uniformly upper-middle class Munsey Park (444 out of Munsey Park&#8217;s 742 households have incomes over $200,000.) The 10,000-20,000 square foot mansions of Sands Point probably require live-in help and thus bring down the mean household income.</p>
<p>My attitude towards the problems in the data is that it is the best we have and any fair minded person would agree that the 100 places with the highest mean household income are all among the most elite communities that America has to offer.</p>
<p><strong>Map 3 The Higley 1000 Neighborhoods of Manhasset Neck and Great Neck, New York<br />
</strong><br />
<strong><strong><iframe width="530" height="550" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=203780771787586073043.000442852c79daab68543&amp;ll=40.813809,-73.687019&amp;spn=0.142912,0.188828&amp;z=12&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=203780771787586073043.000442852c79daab68543&amp;ll=40.813809,-73.687019&amp;spn=0.142912,0.188828&amp;z=12&amp;source=embed" style="color:#0000FF;text-align:left">Manhasset Neck-Great Neck</a> in a larger map</small><br />
</strong></strong></p>
<p>To make the above list, a place had to have a minimum of 200 households. For all of you that are interested in the most obscure of data&#8230; the following is a list of the tiniest places that would have made the list had I included even the smallest of incorporated places. Naturally the margin of error is even more tremendous in the following places.</p>
<p><strong><strong>Table 2: Tiny Places with High Mean Household Income</strong><br />
American Community Survey 2005-2009</strong></p>
<p><strong> </p>
<h2>Tiny</h2>
<table class="wptable rowstyle-alt" id="wptable-49"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:30px" align="center">RANK</th>
		<th class="sortable" style="width:140px" align="center">PLACE</th>
		<th class="sortable" style="width:100px" align="center">MEAN HH INCOME</th>
		<th class="sortable" style="width:70px" align="center"># OF HH</th>
		<th class="sortable" style="width:120px" align="center">LOCATER</th>
	</tr>
	</thead>
	<tr>
		<td style="width:30px" align="center">1</td>
		<td style="width:140px" align="center">Crows Nest</td>
		<td style="width:100px" align="center">$499,184</td>
		<td style="width:70px" align="center">37</td>
		<td style="width:120px" align="center">Indianapolis</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">2</td>
		<td style="width:140px" align="center">North Beach</td>
		<td style="width:100px" align="center">$437,946</td>
		<td style="width:70px" align="center">148</td>
		<td style="width:120px" align="center">Vero Beach</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">3</td>
		<td style="width:140px" align="center">Lake Aluma</td>
		<td style="width:100px" align="center">$384,112</td>
		<td style="width:70px" align="center">30</td>
		<td style="width:120px" align="center">Oklahoma City</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">4</td>
		<td style="width:140px" align="center">Hewlett Bay Park</td>
		<td style="width:100px" align="center">$383,113</td>
		<td style="width:70px" align="center">158</td>
		<td style="width:120px" align="center">Long Island</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">5</td>
		<td style="width:140px" align="center">Golf</td>
		<td style="width:100px" align="center">$376,846</td>
		<td style="width:70px" align="center">118</td>
		<td style="width:120px" align="center">Palm Beach</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">6</td>
		<td style="width:140px" align="center">Mockingbird Valley</td>
		<td style="width:100px" align="center">$371,144</td>
		<td style="width:70px" align="center">41</td>
		<td style="width:120px" align="center">Louisville</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">7</td>
		<td style="width:140px" align="center">Indian Creek</td>
		<td style="width:100px" align="center">$363,806</td>
		<td style="width:70px" align="center">32</td>
		<td style="width:120px" align="center">Miami</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">8</td>
		<td style="width:140px" align="center">Orchid</td>
		<td style="width:100px" align="center">$363,292</td>
		<td style="width:70px" align="center">180</td>
		<td style="width:120px" align="center">Vero Beach</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">9</td>
		<td style="width:140px" align="center">Barton Hills</td>
		<td style="width:100px" align="center">$350,955</td>
		<td style="width:70px" align="center">131</td>
		<td style="width:120px" align="center">Ann Arbor</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">10</td>
		<td style="width:140px" align="center">Huntleigh</td>
		<td style="width:100px" align="center">$340,008</td>
		<td style="width:70px" align="center">131</td>
		<td style="width:120px" align="center">St. Louis</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">11</td>
		<td style="width:140px" align="center">Centre Island</td>
		<td style="width:100px" align="center">$337,310</td>
		<td style="width:70px" align="center">166</td>
		<td style="width:120px" align="center">Long Island</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">12</td>
		<td style="width:140px" align="center">Williams Creek</td>
		<td style="width:100px" align="center">$312,421</td>
		<td style="width:70px" align="center">127</td>
		<td style="width:120px" align="center">Indianapolis</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">13</td>
		<td style="width:140px" align="center">Hewlett Neck</td>
		<td style="width:100px" align="center">$309,038</td>
		<td style="width:70px" align="center">140</td>
		<td style="width:120px" align="center">Long Island</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">14</td>
		<td style="width:140px" align="center">Woodland</td>
		<td style="width:100px" align="center">$304,748</td>
		<td style="width:70px" align="center">188</td>
		<td style="width:120px" align="center">Minneapolis</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">15</td>
		<td style="width:140px" align="center">Lake Angelus</td>
		<td style="width:100px" align="center">$263,773</td>
		<td style="width:70px" align="center">123</td>
		<td style="width:120px" align="center">Detroit</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">16</td>
		<td style="width:140px" align="center">North Crows Nest</td>
		<td style="width:100px" align="center">$257,873</td>
		<td style="width:70px" align="center">11</td>
		<td style="width:120px" align="center">Indianapolis</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">17</td>
		<td style="width:140px" align="center">Belle Air Shores</td>
		<td style="width:100px" align="center">$256,964</td>
		<td style="width:70px" align="center">25</td>
		<td style="width:120px" align="center">St. Petersburg</td>
	</tr>
</table><p>
</strong></p>
<p>* There were 8 single homes on Fisher Island when Google Map&#8217;s satellite made its last pass&#8230;.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>Tucson:  A Beautiful Desert Oasis</title>
		<link>http://higley1000.com/archives/78</link>
		<comments>http://higley1000.com/archives/78#comments</comments>
		<pubDate>Sat, 09 Oct 2010 01:11:51 +0000</pubDate>
		<dc:creator>Stephen Higley</dc:creator>
				<category><![CDATA[Metro Briefs]]></category>
		<category><![CDATA[The US Census]]></category>

		<guid isPermaLink="false">http://higley1000.com/?p=78</guid>
		<description><![CDATA[With good reason, Tucsonians love to sneer at Phoenix: too big, too ugly and with too much out of control growth and the concomitant dreadful traffic problems. (oh yes, and too Conservative too!). However, as the city of Tucson has an estimated 2009 population of 543,910 and the county has just passed the million residents [...]]]></description>
				<content:encoded><![CDATA[<p>With good reason, Tucsonians love to sneer at Phoenix: too big, too ugly and with too much out of control growth and the concomitant dreadful traffic problems. (oh yes, and too Conservative too!). However, as the city of Tucson has an estimated 2009 population of 543,910 and the county has just passed the million residents mark (1,020,200), Tucson may be growing a bit too fast and large for many of its residents&#8217; comfort. Tucson does in fact <em>feel</em> different than its much larger big brother Phoenix. Tucsonians have embraced the desert landscape for their homes to a much greater degree than their neighbors to the north. It is rare to find a lawn in the traditional sense in Tucson, most particularly in the ten Higley 1000 neighborhoods I have identified in two recent trips to this lovely oasis in the desert. Granted, xeroscaping is often mandated by the county, suburbs, and homeowners associations, but never-the-less, the visual affect is stunning.</p>
<p><strong>New Census Figures (American Community Survey 2005-9) on Where the Well-to-do Live<br />
</strong></p>
<p>The figures show that the Catalina Foothills has the largest number of the affluent (+$200,000 household incomes). Pima County has 10,458 households in that category.</p>
<p>1.  Catalina Foothills           3,683<br />
2.  Tucson                          2,143<br />
3.  Oro Valley                     1,184<br />
4.  Casas Adobes                  832<br />
5.  Tanque Verde                  568<br />
6.  Marana                            337<br />
7.  Green Valley                    178<br />
8.  Sahuarita                         117</p>
<p><strong>The Catalina Foothills Landscape</strong></p>
<p style="text-align: center;"><a href="http://higley1000.com/wp-content/uploads/2008/06/bell-looking-from-front-door.jpg"><img class="aligncenter size-medium wp-image-81" title="bell-looking-from-front-door" src="http://higley1000.com/wp-content/uploads/2008/06/bell-looking-from-front-door-300x176.jpg" alt="Catalina Foothills landscape" width="300" height="176" /></a></p>
<p><strong> Modernist Architecture in the Catalina Foothills</strong>:</p>
<p style="text-align: center;"><a href="http://higley1000.com/wp-content/uploads/2008/06/tower-room.jpg"><img class="aligncenter size-medium wp-image-82" title="tower-room" src="http://higley1000.com/wp-content/uploads/2008/06/tower-room-300x225.jpg" alt="Modernist Architecture in the Catalina Foothills" width="300" height="225" /></a></p>
<p>The ten Higley 1000 neighborhoods found in Tucson are quite small as they represent sub-divisions built by individual developers. There are only 2,484 households in the ten neighborhoods, each one approximately 1/3 as large as the typical Higley 1000 neighborhood found in the rest of the country. Eight of the ten neighborhoods and almost 90% of the households are found in the <strong>Catalina Foothills</strong>.</p>
<p>There are two historic neighborhoods found in the geographic heart of the central city. This pair of adjacent subdivisions were platted in 1928 when the city was a small Western city of 32,506 residents (1930 Census). The  much larger and newer grouping of eight Catalina Foothill neighborhoods are found in a series of mostly gated communities along the highest elevations of the foothills of the Santa Catalina Mountains to the north of the city, often shortened to &#8220;The Foothills&#8221; in local parlance.</p>
<p>The foothills north of the Tucson city limits encompass 100.1 square miles of unincorporated suburban sprawl that is differentiated solely by socio-economic status. The Census Bureau has divided this suburban area into three distinct unincorporated suburban entities that are called Census Designated Places (or CDPs): Casas Adobes, Catalina Foothills, and Tanque Verde. Together, the three CDPs have 135,900 people according to the 2005-9 American Community Survey. This large concentration of upper-middle and lower-middle class households is vociferously against annexation by the City of Tucson and equally resistant to incorporation. All services are provided by Pima County.</p>
<p><strong>The Racial Makeup of Tucson and the Ten Higley 1000 Neighborhoods</strong></p>
<p>The metro area has two dominant racial groups: Latino (32.5% of households, 2000 Census) and Non-Hispanic Whites (58.1%) plus small but notable populations of Native Americans (3.4%), African-Americans (3.1%) and Asians (2.4%). The racial makeup of the &#8220;best&#8221; neighborhoods have little minority representation. 90.3% of the households in the ten Tucson Higley 1000 neighborhoods are non-Hispanic White, which is similar to all Higley 1000 neighborhoods (91.0%).</p>
<p>Latinos represent a mere 5.4% of the households in these wealthiest of Tucson neighborhoods. Although this is significantly higher percentage than Latino representation in the entire Higley 1000 (2.2%), it seems relatively small considering the significant Latino population that is found in the metro area and City of Tucson (36.5% Latino).</p>
<p>As is typical of the pattern found throughout the United States, Asians are represented in Tucson&#8217;s wealthiest neighborhoods at above average numbers than the United States as a whole (3.3% vs 2.7%). However, this is significantly less than the percentage of Asian households in all Higley 1000 neighborhoods (4.8%).</p>
<p>There are virtually no Blacks (.5% of all households) or Native-Americans (.4%) in Tucson&#8217;s elite neighborhoods.</p>
<p>The Census Bureau&#8217;s geographic division of the metro area has made an accurate accounting of Tucson&#8217;s wealthy neighborhoods very difficult. The Block Groups are clumsily mapped and do not follow the mandate of the Census Bureau to isolate neighborhoods of similar socio-economic makeup. The end result is that I have had to estimate the mean household income for each of the ten Higley 1000 neighborhoods found in the greater Tucson area. I estimate mean household income by comparing  statistics such as real estate prices and median age as well as speaking to local realtors (always an invaluable resource!).</p>
<p>In the case of Tucson I drove by or through all ten neighborhoods on my last two visits to the metro area to give each neighborhood a &#8220;windshield survey&#8221;. I was able to tabulate accurate racial statistics by adding up the totals for each race and each neighborhood on a block by block basis using 2000 Census Block data. The bottom line is that the mean household income statistics are estimates, the racial statistics are exact.</p>
<p><strong>Map of Colonia Solana and El Encanto Estates: Two Historical Neighborhoods &#8220;on the Flats&#8221;</strong> <iframe width="425" height="350" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;s=AARTsJraAgRIedFutadXVITkyFGJzqMy7g&amp;msa=0&amp;msid=109694166348599969067.00044e72c8bb302e33950&amp;ll=32.221542,-110.9224&amp;spn=0.025414,0.036478&amp;z=14&amp;output=embed"></iframe><br /><small><a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.00044e72c8bb302e33950&amp;ll=32.221542,-110.9224&amp;spn=0.025414,0.036478&amp;z=14&amp;source=embed" style="color:#0000FF;text-align:left">View Larger Map of El Encanto Estates and Colonia Solana</a></small>  <strong></strong></p>
<p><strong>Colonia Solana</strong> and <strong>El Encanto Estates</strong> were developed east of the city&#8217;s boundaries in 1928 next to the El Conquistador Hotel, a posh tourist destination during the first half of the 20th Century. Unfortunately, the hotel was torn down in 1969 to make way for the El Con Mall. The El Con Mall&#8217;s day in the sun was short and today it is mostly abandoned, losing it&#8217;s last anchor (Macy&#8217;s) in 2007.  The best description of these two neighborhoods is found in Virginia and Lee McAlester&#8217;s wonderful Book, &#8220;A Field Guide to America&#8217;s Historic Neighborhoods and Museum Houses: The Western States&#8221;, (Knopf 1998).  &#8220;This contrasting pair of Eclectic-era subdivisions, both opened in 1928, provide a fascinating lesson in the crucial role that landscape and streetscape play in neighborhood ambiance. Both subdivisions offered irregular lots, curvilinear streets, and dense vegetation, and both suffered the slowdown in development that came with the 1930&#8242;s depression and Second World War. Individual houses in both run the stylistic gamut from late 1920s period houses to 1950s Ranch-style houses to a scattering of new construction. Most of these, including the Ranch houses, display some Neo-Hispanic detailing. The two developments thus share similar house designs and street layouts, yet are startlingly different because of their landscaping.</p>
<p>Colonia Solana is an exquisite, and perhaps unique neighborhoods in which you feel as if you have driven directly into the surrounding desert and stumbled upon a few scattered houses. There is no street paving, no curbs, and no gutters. A line of rocks is used to delineate the boundary between road and yard. A natural arroyo running through the neighbhorhood has been left undisturbed. There are no &#8220;lawns&#8221; in the conventional sense. Instead, the neighborhood contains the fascinating native plants of the surrounding Sonoran Desert&#8221;.</p>
<p>&#8220;Adjacent to the north is El Encanto Estates, less unusual but also charming. Here the curved streets and irregular lots are arranged in a symmetrical bull&#8217;s-eye pattern, a type favored by those designing early -Twentieth Century geometric neighborhoods. Although much native vegetation is used, the neighborhood is dominated by majestic imported palm trees, which accent the formal curve of the streets.&#8221;</p>
<p>Both of these ungated neighborhoods are small. I counted 144 houses in El Encanto Estates and 121 in Colonia Solana. Located in the middle of the city, neither has the spectacular views that are available in the foothills to the north. In spite of being located next to a dead mall and some dicey neighborhoods, it appears as if these two islands of wealth have managed to maintain their unique desirability. The houses for sale in both neighborhooods as of June 2008 were generally in the $700,000 to $1,500,000 range.</p>
<p><strong>The Catalina Foothills: Gated Wealth</strong></p>
<p>There are eight Higley 1000 neighborhoods nestled up against the Catalina Mountains. The foothills provide breathtaking vistas of the city to the south and the mountains to the north. All of the wealthiest neighborhoods are found in the central section of the foothills that the Census calls the <strong>Catalina Foothills</strong>. <strong>Casas Adobes</strong> to the west is considered Tucson&#8217;s first suburb and is predominately lower-middle class. <strong>Tanque Verde</strong>,<strong> </strong>a mixture of lower and upper middle class households to the east, is less developed, more open, and in general has lower real estate values than the central foothill area  The first elite subdivisions in the Catalina Foothills were layed out by an ambitious Tucson developer by the name of John Murphey in the early 1930s. He called his development <strong>Catalina Foothills Estates</strong> and the 10 additions he constructed eventually encompassed 1,600 homes that are still represented by a homeowner association to this day. The subdivisions were planned with large lots (three acres or more are common) to maximize privacy. Two of Murphey&#8217;s subdivisions are found in the Higley 1000: Numbers 9 &amp; 10. <strong>Catalina</strong> <strong>Foothills Estates #9</strong> has been lumped in with several adjacent newer subdivisions in the Higley 1000, notably the <strong>The</strong> <strong>Foothills I</strong> and <strong>The Foothills II</strong> developments. <strong></strong></p>
<p><strong>Catalina Foothills Estates #10</strong> is a hidden gated community located south of the Westin La Paloma Resort between Hacienda del Sol Road and Pontatoc Road. The original 10 subdivisions are sometimes referred to as &#8220;Old&#8221; Catalina.</p>
<p><strong>Map of the Catalina Foothills&#8217; Higley 1000 Neighborhoods</strong> <iframe width="425" height="350" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;s=AARTsJoMrYRd3jWRmYn4hU67Z4RQZV4bAA&amp;msa=0&amp;msid=109694166348599969067.0004428462cdf091207f7&amp;ll=32.317717,-110.88907&amp;spn=0.101549,0.145912&amp;z=12&amp;output=embed"></iframe><br /><small><a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.0004428462cdf091207f7&amp;ll=32.317717,-110.88907&amp;spn=0.101549,0.145912&amp;z=12&amp;source=embed" style="color:#0000FF;text-align:left">View Larger Map of the Higley 1000 Neighborhoods in Catalina Foothills</a></small></p>
<p>Touring the wealthiest neighborhoods of the Foothills is difficult because most are gated. Fortunately with the sparse desert landscape and the aid of <strong>Microsoft Virtual Earth</strong> and <strong>Google Earth</strong>, it is easy to view the million dollar homes with the million dollar views. The architecture of all of these neighborhoods is essentially the same: sprawling single story modern houses that often have neo-Hispanic architectural motifs. Architectural Review Boards of Homeowner Associations reign supreme in these neighborhoods and the architecture is relentlessly similar.</p>
<p>The amount one pays for a home in these neighborhoods is directly related to one factor above all else: The View. El Encanto Estates and Colonia Solonia on the flats of the central city are 2,500 feet above sea level. The houses at the loftiest elevations of the various foothill neighborhoods are found in the 3,000 to 3,400 foot range. The highest peak to the north in the Catalina Mountains is Mt. Lemmon, at 9,157 feet above sea level.</p>
<p>One of the interesting aspects of some of the foothill neighborhoods is the mixing of house types. Unlike most Higley 1000 neighborhoods, one finds patio homes, townhouses, and condominiums interspersed among the single family homes. The <strong>Skyline Country Club</strong> has a wide assortment of condominiums and patio homes. I have artfully drawn this neighborhood to exclude these lower income units. I have done the same with the lovely neighborhood of <strong>Rancho</strong> <strong>Sin Vacas</strong> by drawing the boundaries to include the estate homes but exclude the assisted living facility and multi-unit housing.</p>
<p>I have included Tucson&#8217;s newest luxury gated development, <strong>Pima</strong> <strong>Canyon Estates</strong> with the adjacent Rancho Sin Vacas. At the time of the 2000 Census, this neighborhood was just being built and there were few households to be counted. However, with 298 lots that start at $700,000, this neighborhood  will definitely become part of the 2010 Census update of the Higley 1000.</p>
<p>The two gated communities with some of the most impressive homes, <strong>Cobblestone</strong> and <strong>The Canyons</strong> are relatively small and difficult to photograph. I was able to snap this shot of one of the peripheral houses in The Canyons from outside the walls.</p>
<p style="text-align: center;"><a href="http://higley1000.com/wp-content/uploads/2008/06/the-canyons-2.jpg"><img class="aligncenter size-medium wp-image-83" title="the-canyons-2" src="http://higley1000.com/wp-content/uploads/2008/06/the-canyons-2-300x190.jpg" alt="Peripheral House in The Canyons, Catalina Foothills" width="300" height="190" /></a></p>
<p><strong>The Canyons, Catalina Foothills</strong></p>
<p>One of the few neighborhoods in the foothills that is not gated is <strong>Alta Vista Estates</strong>. During my recent visit to Tucson I took several good pictures of the homes in this neighborhood. The pictures below should give one and idea of the foothills landscape and the type of architecture found throughout all ten neighborhoods.</p>
<p><strong>A Typical Home in</strong> <strong>Alta Vista Estates </strong></p>
<p style="text-align: center;"><a href="http://higley1000.com/wp-content/uploads/2008/06/alta-vista.jpg"><img class="size-medium wp-image-80" title="Alta Vista Estates" src="http://higley1000.com/wp-content/uploads/2008/06/alta-vista-300x247.jpg" alt="Alta Vista Estates" width="300" height="247" /></a></p>
<p><strong> Alta Vista Estates, #2</strong></p>
<p style="text-align: center;"><a href="http://higley1000.com/wp-content/uploads/2008/06/alta-vista-2.jpg"><img class="aligncenter size-medium wp-image-79" title="Alta Vista 2" src="http://higley1000.com/wp-content/uploads/2008/06/alta-vista-2-300x184.jpg" alt="Alta Vista 2" width="300" height="184" /></a></p>
<p><strong>Skyline Bel Aire Estates &#8211; My Sensational Tucson Headquarters</strong></p>
<p>I have the fortune of having two wonderful friends that live in the <strong>Skyline Bel</strong> <strong>Aire Estates</strong> subdivision in the Catalina Foothills. It has been my base of operation as I have explored the beautiful neighborhoods of the Foothills. Skyline Bel Aire Estates is one of the older neighborhoods in the upper Foothills, having originally been built in the 50s, 60s, and 70s. With a mean household income of $97,895, it is not close to making the Higley 1000 (the minimum mean income is approximately $185,000). However, this desirable neighborhoods has many beautiful houses and the neighborhood is in the midst of slowly being gentrified due to its wonderful views and excellent location.i</p>
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		<title>Bethesda and Palo Alto: Graduate Degrees &amp; Money</title>
		<link>http://higley1000.com/archives/319</link>
		<comments>http://higley1000.com/archives/319#comments</comments>
		<pubDate>Wed, 04 Aug 2010 13:56:19 +0000</pubDate>
		<dc:creator>Stephen Higley</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://higley1000.com/?p=319</guid>
		<description><![CDATA[After reading Daniel de Vise&#8217;s article in the Washington Post about the high rates of high-school completion in the counties surrounding the District of Columbia, I thought it would be much more telling to find which communities had the highest concentration of graduate degrees. The 2006-8 American Community Survey reports on doctorates, professional degrees, and [...]]]></description>
				<content:encoded><![CDATA[<p>After reading Daniel de Vise&#8217;s article in the <a title="Daniel de Vise article on Graduate Degrees in the DC area" href="http://www.washingtonpost.com/wp-dyn/content/article/2010/07/14/AR2010071405751.html" target="_blank"><strong>Washington Post</strong></a> about the high rates of high-school completion in the counties surrounding the District of Columbia, I thought it would be much more telling to find which communities had the highest concentration of graduate degrees. The <strong>2006-8 American Community Survey</strong> reports on doctorates, professional degrees, and masters degrees found in communities with over 20,000 people. There is a relatively high statistical margin of error in the numbers, yet the usual suspects top the list. The collar counties of Washington DC and Silicon Valley are heavily represented near the top of the list. I researched the fifty highest income places in the United States by mean household income. The assumption was made that there is a direct correlation between education and income.  For comparison, I also looked up the statistics for ten suburbs in Boston, Washington DC and Silicon Valley that were affluent by any American standard but are not in the top fifty in terms of mean household income.</p>
<div class="wp-caption alignnone" style="width: 459px"><a href="http://www.flickr.com/photos/sidspage/3685344006/"><img title="Glasgow students on graduation day, courtesy of gumdropgas on Flickr" src="http://farm4.static.flickr.com/3626/3685344006_9587ec7093_d.jpg" alt="Glasgow students on graduation day, courtesy of gumdropgas on Flickr" width="449" height="323" /></a><p class="wp-caption-text">Glasgow students on graduation day, courtesy of gumdropgas on Flickr</p></div>
<p><strong>TABLE ONE:  Graduate Degrees (of the population 0ver the age of 25) by Percentage</strong> (American Community Survey 2006-8)</p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-47"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:30px" align="center">Grad Degree Rank</th>
		<th class="sortable" style="width:40px" align="center">Mean HH Inc Rank</th>
		<th class="sortable" style="width:155px" align="center">Place</th>
		<th class="sortable" style="width:30px" align="center">Graduate Degrees</th>
		<th class="sortable" style="width:145px" align="center">Locater</th>
	</tr>
	</thead>
	<tr>
		<td style="width:30px" >&nbsp;</td>
		<td style="width:40px" >&nbsp;</td>
		<td style="width:155px" >&nbsp;</td>
		<td style="width:30px" >&nbsp;</td>
		<td style="width:145px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" >&nbsp;</td>
		<td style="width:40px" >&nbsp;</td>
		<td style="width:155px" align="center">United States</td>
		<td style="width:30px" align="center">10.1%</td>
		<td style="width:145px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:30px" >&nbsp;</td>
		<td style="width:40px" >&nbsp;</td>
		<td style="width:155px" >&nbsp;</td>
		<td style="width:30px" >&nbsp;</td>
		<td style="width:145px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">1</td>
		<td style="width:40px" align="center">31</td>
		<td style="width:155px" align="center">Bethesda</td>
		<td style="width:30px" align="center">52.0%</td>
		<td style="width:145px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">2</td>
		<td style="width:40px" align="center">18</td>
		<td style="width:155px" align="center">Los Altos</td>
		<td style="width:30px" align="center">51.6%</td>
		<td style="width:145px" align="center">Silicon Valley</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">3</td>
		<td style="width:40px" align="center">6</td>
		<td style="width:155px" align="center">McLean</td>
		<td style="width:30px" align="center">48.9%</td>
		<td style="width:145px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">4</td>
		<td style="width:40px" align="center">5</td>
		<td style="width:155px" align="center">Potomac</td>
		<td style="width:30px" align="center">48.0%</td>
		<td style="width:145px" align="center">Washington DC</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">5</td>
		<td style="width:40px" align="center">47</td>
		<td style="width:155px" align="center">Palo Alto</td>
		<td style="width:30px" align="center">47.9%</td>
		<td style="width:145px" align="center">Silicon Valley</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">6</td>
		<td style="width:40px" align="center">17</td>
		<td style="width:155px" align="center">Wellesley</td>
		<td style="width:30px" align="center">44.8%</td>
		<td style="width:145px" align="center">Boston</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">7</td>
		<td style="width:40px" align="center">27</td>
		<td style="width:155px" align="center">Lower Merion Township</td>
		<td style="width:30px" align="center">43.3%</td>
		<td style="width:145px" align="center">Philadelphia</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">8</td>
		<td style="width:40px" align="center">16</td>
		<td style="width:155px" align="center">Saratoga</td>
		<td style="width:30px" align="center">42.7%</td>
		<td style="width:145px" align="center">Silicon Valley</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">9</td>
		<td style="width:40px" align="center">46</td>
		<td style="width:155px" align="center">Winchester</td>
		<td style="width:30px" align="center">42.1%</td>
		<td style="width:145px" align="center">Boston</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">10</td>
		<td style="width:40px" align="center">26</td>
		<td style="width:155px" align="center">Wilmette</td>
		<td style="width:30px" align="center">42.0%</td>
		<td style="width:145px" align="center">Chicago</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">11</td>
		<td style="width:40px" align="center">12</td>
		<td style="width:155px" align="center">Mamaroneck Town</td>
		<td style="width:30px" align="center">42.0%</td>
		<td style="width:145px" align="center">Westchester County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">12</td>
		<td style="width:40px" align="center">9</td>
		<td style="width:155px" align="center">Mountain Brook</td>
		<td style="width:30px" align="center">40.1%</td>
		<td style="width:145px" align="center">Birmingham</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">13</td>
		<td style="width:40px" align="center">49</td>
		<td style="width:155px" align="center">Needham</td>
		<td style="width:30px" align="center">39.5%</td>
		<td style="width:145px" align="center">Boston</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">14</td>
		<td style="width:40px" align="center">20</td>
		<td style="width:155px" align="center">Montgomery Township</td>
		<td style="width:30px" align="center">39.3%</td>
		<td style="width:145px" align="center">Somerset County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">15</td>
		<td style="width:40px" align="center">34</td>
		<td style="width:155px" align="center">West Windsor Township</td>
		<td style="width:30px" align="center">39.3%</td>
		<td style="width:145px" align="center">Princeton</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">16</td>
		<td style="width:40px" align="center">44</td>
		<td style="width:155px" align="center">Menlo Park</td>
		<td style="width:30px" align="center">38.6%</td>
		<td style="width:145px" align="center">Silicon Valley</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">17</td>
		<td style="width:40px" align="center">41</td>
		<td style="width:155px" align="center">North Potomac</td>
		<td style="width:30px" align="center">38.2%</td>
		<td style="width:145px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">18</td>
		<td style="width:40px" align="center">30</td>
		<td style="width:155px" align="center">Bloomfield Township</td>
		<td style="width:30px" align="center">37.2%</td>
		<td style="width:145px" align="center">Detroit</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">19</td>
		<td style="width:40px" align="center">23</td>
		<td style="width:155px" align="center">Mercer Island</td>
		<td style="width:30px" align="center">36.5%</td>
		<td style="width:145px" align="center">Seattle</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">20</td>
		<td style="width:40px" align="center">1</td>
		<td style="width:155px" align="center">Darien</td>
		<td style="width:30px" align="center">34.6%</td>
		<td style="width:145px" align="center">Fairfield County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">21</td>
		<td style="width:40px" align="center">3</td>
		<td style="width:155px" align="center">Westport</td>
		<td style="width:30px" align="center">34.2%</td>
		<td style="width:145px" align="center">Fairfield County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">22</td>
		<td style="width:40px" align="center">15</td>
		<td style="width:155px" align="center">University Park</td>
		<td style="width:30px" align="center">33.6%</td>
		<td style="width:145px" align="center">Dallas</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">23</td>
		<td style="width:40px" align="center">32</td>
		<td style="width:155px" align="center">Ridgefield</td>
		<td style="width:30px" align="center">33.5%</td>
		<td style="width:145px" align="center">Fairfield County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">24</td>
		<td style="width:40px" align="center">2</td>
		<td style="width:155px" align="center">Lake Forest</td>
		<td style="width:30px" align="center">33.5%</td>
		<td style="width:145px" align="center">Chicago</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">25</td>
		<td style="width:40px" align="center">29</td>
		<td style="width:155px" align="center">Bernards Township</td>
		<td style="width:30px" align="center">33.0%</td>
		<td style="width:145px" align="center">Somerset County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">26</td>
		<td style="width:40px" align="center">22</td>
		<td style="width:155px" align="center">Highland Park</td>
		<td style="width:30px" align="center">32.7%</td>
		<td style="width:145px" align="center">Chicago</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">27</td>
		<td style="width:40px" align="center">21</td>
		<td style="width:155px" align="center">Ridgewood</td>
		<td style="width:30px" align="center">32.6%</td>
		<td style="width:145px" align="center">Bergen County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">28</td>
		<td style="width:40px" align="center">8</td>
		<td style="width:155px" align="center">Summit</td>
		<td style="width:30px" align="center">32.6%</td>
		<td style="width:145px" align="center">Union County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">29</td>
		<td style="width:40px" align="center">10</td>
		<td style="width:155px" align="center">La Canada Flintridge</td>
		<td style="width:30px" align="center">32.3%</td>
		<td style="width:145px" align="center">Los Angeles</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">30</td>
		<td style="width:40px" align="center">42</td>
		<td style="width:155px" align="center">Northbrook</td>
		<td style="width:30px" align="center">31.1%</td>
		<td style="width:145px" align="center">Chicago</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">31</td>
		<td style="width:40px" align="center">33</td>
		<td style="width:155px" align="center">Livingston Township</td>
		<td style="width:30px" align="center">31.0%</td>
		<td style="width:145px" align="center">Essex County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">32</td>
		<td style="width:40px" align="center">19</td>
		<td style="width:155px" align="center">Manhattan Beach</td>
		<td style="width:30px" align="center">30.4%</td>
		<td style="width:145px" align="center">Los Angeles</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">33</td>
		<td style="width:40px" align="center">40</td>
		<td style="width:155px" align="center">Westfield</td>
		<td style="width:30px" align="center">30.3%</td>
		<td style="width:145px" align="center">Union County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">34</td>
		<td style="width:40px" align="center">45</td>
		<td style="width:155px" align="center">Leawood</td>
		<td style="width:30px" align="center">30.0%</td>
		<td style="width:145px" align="center">Kansas City</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">35</td>
		<td style="width:40px" align="center">11</td>
		<td style="width:155px" align="center">Garden City</td>
		<td style="width:30px" align="center">29.9%</td>
		<td style="width:145px" align="center">Long Island</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">36</td>
		<td style="width:40px" align="center">38</td>
		<td style="width:155px" align="center">Lafayette</td>
		<td style="width:30px" align="center">29.6%</td>
		<td style="width:145px" align="center">San Francisco</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">37</td>
		<td style="width:40px" align="center">24</td>
		<td style="width:155px" align="center">Eastchester Town</td>
		<td style="width:30px" align="center">29.0%</td>
		<td style="width:145px" align="center">Westchester County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">38</td>
		<td style="width:40px" align="center">37</td>
		<td style="width:155px" align="center">Dix Hills</td>
		<td style="width:30px" align="center">28.8%</td>
		<td style="width:145px" align="center">Long Island</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">39</td>
		<td style="width:40px" align="center">4</td>
		<td style="width:155px" align="center">Greenwich</td>
		<td style="width:30px" align="center">28.5%</td>
		<td style="width:145px" align="center">Fairfield County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">40</td>
		<td style="width:40px" align="center">48</td>
		<td style="width:155px" align="center">Morris Township</td>
		<td style="width:30px" align="center">28.4%</td>
		<td style="width:145px" align="center">Morris County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">41</td>
		<td style="width:40px" align="center">25</td>
		<td style="width:155px" align="center">Newport Beach</td>
		<td style="width:30px" align="center">27.4%</td>
		<td style="width:145px" align="center">Orange County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">42</td>
		<td style="width:40px" align="center">43</td>
		<td style="width:155px" align="center">Laguna Beach</td>
		<td style="width:30px" align="center">26.6%</td>
		<td style="width:145px" align="center">Orange County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">43</td>
		<td style="width:40px" align="center">35</td>
		<td style="width:155px" align="center">Brentwood</td>
		<td style="width:30px" align="center">26.3%</td>
		<td style="width:145px" align="center">Nashville</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">44</td>
		<td style="width:40px" align="center">50</td>
		<td style="width:155px" align="center">Los Gatos</td>
		<td style="width:30px" align="center">25.4%</td>
		<td style="width:145px" align="center">Silicon Valley</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">45</td>
		<td style="width:40px" align="center">13</td>
		<td style="width:155px" align="center">Colleyville</td>
		<td style="width:30px" align="center">25.2%</td>
		<td style="width:145px" align="center">Fort Worth</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">46</td>
		<td style="width:40px" align="center">36</td>
		<td style="width:155px" align="center">Danville</td>
		<td style="width:30px" align="center">25.1%</td>
		<td style="width:145px" align="center">San Francisco</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">47</td>
		<td style="width:40px" align="center">39</td>
		<td style="width:155px" align="center">North Tustin</td>
		<td style="width:30px" align="center">24.2%</td>
		<td style="width:145px" align="center">Orange County</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">48</td>
		<td style="width:40px" align="center">14</td>
		<td style="width:155px" align="center">Harrison</td>
		<td style="width:30px" align="center">23.2%</td>
		<td style="width:145px" align="center">Westchester County</td>
	</tr>
	<tr class="alt">
		<td style="width:30px" align="center">49</td>
		<td style="width:40px" align="center">7</td>
		<td style="width:155px" align="center">Southlake</td>
		<td style="width:30px" align="center">22.8%</td>
		<td style="width:145px" align="center">Fort Worth</td>
	</tr>
	<tr>
		<td style="width:30px" align="center">50</td>
		<td style="width:40px" align="center">28</td>
		<td style="width:155px" align="center">Granite Bay</td>
		<td style="width:30px" align="center">18.9%</td>
		<td style="width:145px" align="center">Sacramento</td>
	</tr>
</table><p>
</strong></p>
<p>Some observations:</p>
<p>1.  Some places abruptly change rank in the listings. Although <strong>Bethesda</strong> ranks 31st in mean household income, it was first in the percentage of its residents in graduate degrees (and second in doctorates). It came as no surprise that  <strong>Stanford University&#8217;s </strong>next door neighbor<strong>, Palo Alto, </strong> jumped from 47th wealthiest to first in doctoral degrees. <strong>Los Altos</strong>, a close neighbor of Palo Alto in the heart of Silicon Valley was 18th in mean household income, but placed second for graduate degrees of all types.</p>
<p>2. The Connecticut suburbs of New York City rank near the top in wealth, but drop precipitously in the graduate education list. <strong>Greenwich</strong> was 4th in income and drops to 37th in grad degrees. <strong>Westport</strong> drops from 3rd in wealth to 19th in degrees. Surprisingly, <strong>Darien</strong>, number one in household income drops to 20th for grad degrees.</p>
<p>3. As you might expect, places near prominent universities are well represented on the list: <strong>Winchester</strong>, Massachusetts (9th in grad degrees) is probably on the list because of the multitude of universities in the Boston area. Similarly we find <strong>West Windsor Township</strong> (Princeton), <strong>Lower Merion Township</strong> (Penn, Villanova, &amp; Haverford as examples), and <strong>Garden City</strong>, New York (Adelphi, Hofstra) ranked near the top of the list in graduate degrees.</p>
<p>4. The two places that are near the top of both lists face each other across the Potomac River: <strong>McLean</strong>, Virginia and <strong>Potomac</strong>, Maryland. It is important to remember that the Census estimates are only for those places that have over 20,000 inhabitants. Clearly, the adjacent communities (such as <strong>Great Falls</strong> and <strong>Wolf Trap</strong> in Virginia, as well as the myriad of <strong>Chevy Chases</strong> and <strong>Travilah</strong> in Maryland) would be equal or higher than the noted places, but they are not enumerated in the American Community Survey. The statistics will be available when the economic numbers  for smaller places are published when the American Community Survey are released. The sampling for smaller places will cover the years 2005-2010 and will be released in the years following the current decennial Census now under way.</p>
<p><strong>MAP ONE: The Largest Concentration of High Income and Grad Degrees: Bethesda, Potomac, North Potomac, and McLean.</strong></p>
<p><strong><iframe width="425" height="415" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.00048cc6c434f8f913ad0&amp;ll=38.960477,-77.216034&amp;spn=0.443151,0.878906&amp;z=10&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.00048cc6c434f8f913ad0&amp;ll=38.960477,-77.216034&amp;spn=0.443151,0.878906&amp;z=10&amp;source=embed" style="color:#0000FF;text-align:left">Brains and Income in DC</a> in a larger map</small><br />
</strong></p>
<p>Yet another way of looking at the data is too rank the 50 highest income places by the number of residents that have a doctorate. Note that three of the highest income places are not on the list. The reason for their exclusion from the data has to do with the sampling data. They did not have enough MDs and PhDs for Census enumerators to be statistically included. This is a bit of a mystery to me as the three communities are Darien, Connecticut, (#1 in mean household income; Mountain Brook, Alabama (9th); and University Park, Texas, (15th).</p>
<p><strong>TABLE TWO:  Doctoral Degrees (of the population over the age of 25) by percentage.</strong> American Community Survey 2006-8</p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-44"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:50px" align="center">Rank</th>
		<th class="sortable" style="width:130px" align="center">Place</th>
		<th class="sortable" style="width:50px" align="center">Doctorates</th>
		<th class="sortable" style="width:130px" align="center">Locater</th>
	</tr>
	</thead>
	<tr>
		<td style="width:50px" >&nbsp;</td>
		<td style="width:130px" >&nbsp;</td>
		<td style="width:50px" >&nbsp;</td>
		<td style="width:130px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" >&nbsp;</td>
		<td style="width:130px" align="center">United States</td>
		<td style="width:50px" align="center">1.1%</td>
		<td style="width:130px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:50px" >&nbsp;</td>
		<td style="width:130px" >&nbsp;</td>
		<td style="width:50px" >&nbsp;</td>
		<td style="width:130px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">1</td>
		<td style="width:130px" align="center">Palo Alto</td>
		<td style="width:50px" align="center">12.2%</td>
		<td style="width:130px" align="center">Silicon Valley</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">2</td>
		<td style="width:130px" align="center">Bethesda</td>
		<td style="width:50px" align="center">10.8%</td>
		<td style="width:130px" align="center">Washington DC</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">3</td>
		<td style="width:130px" align="center">Menlo Park</td>
		<td style="width:50px" align="center">9.9%</td>
		<td style="width:130px" align="center">Silicon Valley</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">4</td>
		<td style="width:130px" align="center">West Windsor Township</td>
		<td style="width:50px" align="center">8.7%</td>
		<td style="width:130px" align="center">Princeton</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">5</td>
		<td style="width:130px" align="center">Montgomery Township</td>
		<td style="width:50px" align="center">8.3%</td>
		<td style="width:130px" align="center">Somerset County</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">6</td>
		<td style="width:130px" align="center">Los Altos</td>
		<td style="width:50px" align="center">8.1%</td>
		<td style="width:130px" align="center">Silicon Valley</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">7</td>
		<td style="width:130px" align="center">Potomac</td>
		<td style="width:50px" align="center">8.0%</td>
		<td style="width:130px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">8</td>
		<td style="width:130px" align="center">Lower Merion Township</td>
		<td style="width:50px" align="center">7.9%</td>
		<td style="width:130px" align="center">Philadelphia</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">9</td>
		<td style="width:130px" align="center">McLean</td>
		<td style="width:50px" align="center">7.7%</td>
		<td style="width:130px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">10</td>
		<td style="width:130px" align="center">North Potomac</td>
		<td style="width:50px" align="center">7.7%</td>
		<td style="width:130px" align="center">Washington DC</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">11</td>
		<td style="width:130px" align="center">Saratoga</td>
		<td style="width:50px" align="center">7.2%</td>
		<td style="width:130px" align="center">Silicon Valley</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">12</td>
		<td style="width:130px" align="center">Wellesley</td>
		<td style="width:50px" align="center">6.9%</td>
		<td style="width:130px" align="center">Boston</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">13</td>
		<td style="width:130px" align="center">Winchester</td>
		<td style="width:50px" align="center">5.6%</td>
		<td style="width:130px" align="center">Boston</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">14</td>
		<td style="width:130px" align="center">Wilmette</td>
		<td style="width:50px" align="center">5.4%</td>
		<td style="width:130px" align="center">Chicago</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">15</td>
		<td style="width:130px" align="center">Bernards Township</td>
		<td style="width:50px" align="center">5.0%</td>
		<td style="width:130px" align="center">Somerset County</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">16</td>
		<td style="width:130px" align="center">Mercer Island</td>
		<td style="width:50px" align="center">4.9%</td>
		<td style="width:130px" align="center">Seattle</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">17</td>
		<td style="width:130px" align="center">Mamaroneck Town</td>
		<td style="width:50px" align="center">4.8%</td>
		<td style="width:130px" align="center">Westchester County</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">18</td>
		<td style="width:130px" align="center">La Canada Flintridge</td>
		<td style="width:50px" align="center">4.7%</td>
		<td style="width:130px" align="center">Los Angeles</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">19</td>
		<td style="width:130px" align="center">Needham</td>
		<td style="width:50px" align="center">4.4%</td>
		<td style="width:130px" align="center">Boston</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">20</td>
		<td style="width:130px" align="center">Leawood</td>
		<td style="width:50px" align="center">4.2%</td>
		<td style="width:130px" align="center">Kansas City</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">21</td>
		<td style="width:130px" align="center">Lafayette</td>
		<td style="width:50px" align="center">3.9%</td>
		<td style="width:130px" align="center">San Francisco</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">22</td>
		<td style="width:130px" align="center">Ridgefield</td>
		<td style="width:50px" align="center">3.8%</td>
		<td style="width:130px" align="center">Fairfield County</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">23</td>
		<td style="width:130px" align="center">Summit</td>
		<td style="width:50px" align="center">3.8%</td>
		<td style="width:130px" align="center">Union County</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">24</td>
		<td style="width:130px" align="center">Westfield</td>
		<td style="width:50px" align="center">3.8%</td>
		<td style="width:130px" align="center">Union County</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">25</td>
		<td style="width:130px" align="center">Brentwood</td>
		<td style="width:50px" align="center">3.6%</td>
		<td style="width:130px" align="center">Nashville</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">26</td>
		<td style="width:130px" align="center">Ridgewood</td>
		<td style="width:50px" align="center">3.6%</td>
		<td style="width:130px" align="center">Bergen County</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">27</td>
		<td style="width:130px" align="center">Danville</td>
		<td style="width:50px" align="center">3.5%</td>
		<td style="width:130px" align="center">San Francisco</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">28</td>
		<td style="width:130px" align="center">Manhattan Beach</td>
		<td style="width:50px" align="center">3.5%</td>
		<td style="width:130px" align="center">Los Angeles</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">29</td>
		<td style="width:130px" align="center">Newport Beach</td>
		<td style="width:50px" align="center">3.1%</td>
		<td style="width:130px" align="center">Orange County</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">30</td>
		<td style="width:130px" align="center">Westport</td>
		<td style="width:50px" align="center">3.1%</td>
		<td style="width:130px" align="center">Fairfield County</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">31</td>
		<td style="width:130px" align="center">Bloomfield Township</td>
		<td style="width:50px" align="center">3.0%</td>
		<td style="width:130px" align="center">Detroit</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">32</td>
		<td style="width:130px" align="center">Dix Hills</td>
		<td style="width:50px" align="center">2.9%</td>
		<td style="width:130px" align="center">Long Island</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">33</td>
		<td style="width:130px" align="center">Los Gatos</td>
		<td style="width:50px" align="center">2.8%</td>
		<td style="width:130px" align="center">Silicon Valley</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">34</td>
		<td style="width:130px" align="center">Laguna Beach</td>
		<td style="width:50px" align="center">2.8%</td>
		<td style="width:130px" align="center">Orange County</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">35</td>
		<td style="width:130px" align="center">Southlake</td>
		<td style="width:50px" align="center">2.4%</td>
		<td style="width:130px" align="center">Fort Worth</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">36</td>
		<td style="width:130px" align="center">Highland Park</td>
		<td style="width:50px" align="center">2.3%</td>
		<td style="width:130px" align="center">Chicago</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">37</td>
		<td style="width:130px" align="center">Granite Bay</td>
		<td style="width:50px" align="center">2.2%</td>
		<td style="width:130px" align="center">Sacramento</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">38</td>
		<td style="width:130px" align="center">North Tustin</td>
		<td style="width:50px" align="center">2.2%</td>
		<td style="width:130px" align="center">Orange County</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">39</td>
		<td style="width:130px" align="center">Livingston Township</td>
		<td style="width:50px" align="center">2.2%</td>
		<td style="width:130px" align="center">Essex County</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">40</td>
		<td style="width:130px" align="center">Colleyville</td>
		<td style="width:50px" align="center">2.1%</td>
		<td style="width:130px" align="center">Fort Worth</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">41</td>
		<td style="width:130px" align="center">Garden City</td>
		<td style="width:50px" align="center">2.0%</td>
		<td style="width:130px" align="center">Long Island</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">42</td>
		<td style="width:130px" align="center">Morris Township</td>
		<td style="width:50px" align="center">2.0%</td>
		<td style="width:130px" align="center">Morris County</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">43</td>
		<td style="width:130px" align="center">Greenwich</td>
		<td style="width:50px" align="center">2.0%</td>
		<td style="width:130px" align="center">Fairfield County</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">44</td>
		<td style="width:130px" align="center">Northbrook</td>
		<td style="width:50px" align="center">2.0%</td>
		<td style="width:130px" align="center">Chicago</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">45</td>
		<td style="width:130px" align="center">Eastchester Town</td>
		<td style="width:50px" align="center">1.9%</td>
		<td style="width:130px" align="center">Westchester County</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">46</td>
		<td style="width:130px" align="center">Lake Forest</td>
		<td style="width:50px" align="center">1.7%</td>
		<td style="width:130px" align="center">Chicago</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">47</td>
		<td style="width:130px" align="center">Harrison</td>
		<td style="width:50px" align="center">1.5%</td>
		<td style="width:130px" align="center">Westchester County</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">48</td>
		<td style="width:130px" align="center">Darien</td>
		<td style="width:50px" align="center">N/A</td>
		<td style="width:130px" align="center">Fairfield County</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">49</td>
		<td style="width:130px" align="center">Mountain Brook</td>
		<td style="width:50px" align="center">N/A</td>
		<td style="width:130px" align="center">Birmingham</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">50</td>
		<td style="width:130px" align="center">University Park</td>
		<td style="width:50px" align="center">N/A</td>
		<td style="width:130px" align="center">Dallas</td>
	</tr>
</table><p>
</strong></p>
<p>Table Three looks at 10 suburbs in Boston, Washington DC,and Silicon Valley to see how they compare to the highest income places in the country. The results show that the twenty suburbs compare favorably. <strong>Mountain View</strong>, with its heavy concentration of high tech firms ranks very high in doctorates. <strong>Arlington, Virginia</strong> also ranks highly and this is remarkable considering this county&#8217;s large population (217,483, Census Est. 2009). Boston has many suburbs that just missed the top 50 in income (<strong>Lexington, Newton, &amp; Brookline</strong>) and the statistics show that they are among the leaders in graduate and doctorate education.</p>
<p><strong>TABLE THREE:  Ten Higher Income Places in Boston, Washington DC, and Silicon Valley with High Percentages of Residents (over 25 years old) with Grad Degrees</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-45"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:180px" align="center">PLACE</th>
		<th class="sortable" style="width:60px" align="center">DOCTORATES</th>
		<th class="sortable" style="width:60px" align="center">ALL GRADUATE DEGREES</th>
	</tr>
	</thead>
	<tr>
		<td style="width:180px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Boston</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:180px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Lexington</td>
		<td style="width:60px" align="center">11.7%</td>
		<td style="width:60px" align="center">49.5%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Brookline</td>
		<td style="width:60px" align="center">11.0%</td>
		<td style="width:60px" align="center">47.1%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Newton</td>
		<td style="width:60px" align="center">9.4%</td>
		<td style="width:60px" align="center">43.3%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Cambridge</td>
		<td style="width:60px" align="center">11.0%</td>
		<td style="width:60px" align="center">42.7%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Acton</td>
		<td style="width:60px" align="center">7.8%</td>
		<td style="width:60px" align="center">40.1%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Belmont</td>
		<td style="width:60px" align="center">8.9%</td>
		<td style="width:60px" align="center">38.5%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Arlington</td>
		<td style="width:60px" align="center">7.6%</td>
		<td style="width:60px" align="center">33.7%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Andover</td>
		<td style="width:60px" align="center">4.6%</td>
		<td style="width:60px" align="center">31.8%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Westford</td>
		<td style="width:60px" align="center">3.7%</td>
		<td style="width:60px" align="center">31.6%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Marblehead</td>
		<td style="width:60px" align="center">3.2%</td>
		<td style="width:60px" align="center">28.7%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Washington DC</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Arlington</td>
		<td style="width:60px" align="center">4.4%</td>
		<td style="width:60px" align="center">36.4%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Oakton</td>
		<td style="width:60px" align="center">5.2%</td>
		<td style="width:60px" align="center">35.9%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Chantilly</td>
		<td style="width:60px" align="center">2.0%</td>
		<td style="width:60px" align="center">35.6%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">North Bethesda</td>
		<td style="width:60px" align="center">5.9%</td>
		<td style="width:60px" align="center">34.9%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Reston</td>
		<td style="width:60px" align="center">4.7%</td>
		<td style="width:60px" align="center">31.7%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Colesville</td>
		<td style="width:60px" align="center">5.3%</td>
		<td style="width:60px" align="center">31.2%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Columbia</td>
		<td style="width:60px" align="center">4.6%</td>
		<td style="width:60px" align="center">29.5%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Alexandria</td>
		<td style="width:60px" align="center">2.8%</td>
		<td style="width:60px" align="center">29.2%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Fairfax (City)</td>
		<td style="width:60px" align="center">3.6%</td>
		<td style="width:60px" align="center">22.3%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Centreville</td>
		<td style="width:60px" align="center">1.5%</td>
		<td style="width:60px" align="center">18.3%</td>
	</tr>
	<tr>
		<td style="width:180px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Silicon Valley</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:180px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Mountain View</td>
		<td style="width:60px" align="center">6.0%</td>
		<td style="width:60px" align="center">27.8%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Foster City</td>
		<td style="width:60px" align="center">4.8%</td>
		<td style="width:60px" align="center">27.3%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Belmont</td>
		<td style="width:60px" align="center">3.5%</td>
		<td style="width:60px" align="center">26.0%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Sunnyvale</td>
		<td style="width:60px" align="center">3.5%</td>
		<td style="width:60px" align="center">25.6%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">San Carlos</td>
		<td style="width:60px" align="center">4.5%</td>
		<td style="width:60px" align="center">24.3%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Santa Clara</td>
		<td style="width:60px" align="center">2.6%</td>
		<td style="width:60px" align="center">20.4%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">San Mateo</td>
		<td style="width:60px" align="center">2.1%</td>
		<td style="width:60px" align="center">16.7%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Redwood City</td>
		<td style="width:60px" align="center">3.7%</td>
		<td style="width:60px" align="center">16.3%</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Milpitas</td>
		<td style="width:60px" align="center">1.8%</td>
		<td style="width:60px" align="center">14.1%</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">San Jose</td>
		<td style="width:60px" align="center">1.7%</td>
		<td style="width:60px" align="center">13.2%</td>
	</tr>
</table><p>
</strong></p>
<p><strong>Places with the most Ph.D.s</strong></p>
<p>It will come as no surprise that the cities with the highest concentration of doctorates are found in towns dominated by major universities. <strong>West Lafayette, Indiana</strong> is easily number one in this category. Evidently, the professoriate has overwhelmingly chosen to live in the many pleasant neighborhoods surrounding the campus.</p>
<p><strong>TABLE FOUR: Academic Strongholds of Higher Degrees<br />
</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-46"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:180px" align="center">Place</th>
		<td style="width:30px" >&nbsp;</td>
		<th class="sortable" style="width:60px" align="center">All Grad Degrees</th>
		<th class="sortable" style="width:60px" align="center">Doctorates</th>
		<th class="sortable" style="width:120px" align="center">Associated University</th>
	</tr>
	</thead>
	<tr>
		<td style="width:180px" >&nbsp;</td>
		<td style="width:30px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:120px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">West Lafayette</td>
		<td style="width:30px" align="center">IN</td>
		<td style="width:60px" align="center">48.5%</td>
		<td style="width:60px" align="center">20.5%</td>
		<td style="width:120px" align="center">Purdue</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Amherst</td>
		<td style="width:30px" align="center">MA</td>
		<td style="width:60px" align="center">43.0%</td>
		<td style="width:60px" align="center">14.7%</td>
		<td style="width:120px" align="center">UMass-Amherst</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Blacksburg</td>
		<td style="width:30px" align="center">VA</td>
		<td style="width:60px" align="center">40.3%</td>
		<td style="width:60px" align="center">12.9%</td>
		<td style="width:120px" align="center">Virginia Tech</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Chapel Hill</td>
		<td style="width:30px" align="center">NC</td>
		<td style="width:60px" align="center">44.5%</td>
		<td style="width:60px" align="center">12.2%</td>
		<td style="width:120px" align="center">North Carolina</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Athens</td>
		<td style="width:30px" align="center">OH</td>
		<td style="width:60px" align="center">34.8%</td>
		<td style="width:60px" align="center">12.1%</td>
		<td style="width:120px" align="center">Ohio University</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Ann Arbor</td>
		<td style="width:30px" align="center">MI</td>
		<td style="width:60px" align="center">42.1%</td>
		<td style="width:60px" align="center">11.8%</td>
		<td style="width:120px" align="center">Michigan</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Okemos</td>
		<td style="width:30px" align="center">MI</td>
		<td style="width:60px" align="center">37.9%</td>
		<td style="width:60px" align="center">11.4%</td>
		<td style="width:120px" align="center">Michigan State</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Berkeley</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:60px" align="center">36.9%</td>
		<td style="width:60px" align="center">9.8%</td>
		<td style="width:120px" align="center">UC-Berkeley</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Plainsboro</td>
		<td style="width:30px" align="center">NJ</td>
		<td style="width:60px" align="center">36.9%</td>
		<td style="width:60px" align="center">9.8%</td>
		<td style="width:120px" align="center">Princeton</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Urbana</td>
		<td style="width:30px" align="center">IL</td>
		<td style="width:60px" align="center">34.0%</td>
		<td style="width:60px" align="center">9.4%</td>
		<td style="width:120px" align="center">Illinois</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">East Lansing</td>
		<td style="width:30px" align="center">MI</td>
		<td style="width:60px" align="center">36.8%</td>
		<td style="width:60px" align="center">9.4%</td>
		<td style="width:120px" align="center">Michigan State</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Davis</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:60px" align="center">39.1%</td>
		<td style="width:60px" align="center">9.1%</td>
		<td style="width:120px" align="center">UC-Davis</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Ithaca</td>
		<td style="width:30px" align="center">NY</td>
		<td style="width:60px" align="center">34.0%</td>
		<td style="width:60px" align="center">8.6%</td>
		<td style="width:120px" align="center">Cornell</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Radnor</td>
		<td style="width:30px" align="center">PA</td>
		<td style="width:60px" align="center">34.6%</td>
		<td style="width:60px" align="center">8.4%</td>
		<td style="width:120px" align="center">Villanova-Haverford</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Boulder</td>
		<td style="width:30px" align="center">CO</td>
		<td style="width:60px" align="center">34.4%</td>
		<td style="width:60px" align="center">7.8%</td>
		<td style="width:120px" align="center">Colorado</td>
	</tr>
	<tr>
		<td style="width:180px" align="center">Bloomington</td>
		<td style="width:30px" align="center">IN</td>
		<td style="width:60px" align="center">30.1%</td>
		<td style="width:60px" align="center">7.6%</td>
		<td style="width:120px" align="center">Indiana</td>
	</tr>
	<tr class="alt">
		<td style="width:180px" align="center">Evanston</td>
		<td style="width:30px" align="center">IL</td>
		<td style="width:60px" align="center">36.1%</td>
		<td style="width:60px" align="center">6.4%</td>
		<td style="width:120px" align="center">Northwestern</td>
	</tr>
</table><p>
</strong></p>
]]></content:encoded>
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		<title>Washington DC: African-Americans find Success, but Separate and Not Financially Equal</title>
		<link>http://higley1000.com/archives/272</link>
		<comments>http://higley1000.com/archives/272#comments</comments>
		<pubDate>Sun, 23 May 2010 15:57:42 +0000</pubDate>
		<dc:creator>Stephen Higley</dc:creator>
				<category><![CDATA[Metro Briefs]]></category>
		<category><![CDATA[Racial Diversity]]></category>
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://higley1000.com/?p=272</guid>
		<description><![CDATA[The racial integration of the Washington DC metro area has many illuminating geographic patterns. This essay will concentrate on African-Americans and Non-Hispanic Whites. That&#8217;s not to say that there are not significant and interesting patterns for the ever increasing Latino and Asian communities, however, the long historical relationship between Washington DC and it&#8217;s Black citizens [...]]]></description>
				<content:encoded><![CDATA[<p>The racial integration of the Washington DC metro area has many illuminating geographic patterns. This essay will concentrate on African-Americans and Non-Hispanic Whites. That&#8217;s not to say that there are not significant and interesting patterns for the ever increasing Latino and Asian communities, however, the long historical relationship between Washington DC and it&#8217;s Black citizens provides an interesting glimpse into today&#8217;s racial patterning in upscale neighborhoods. Please note that although the Census Bureau now combines the Baltimore metro area with the greater Washington Area, all of the statistics in this article are for the DC Metropolitan Statistical Area without the complications of Baltimore&#8217;s unique racial patterning.</p>
<p><strong>African-Americans: Success, but at a Lagging Rate</strong></p>
<p>An analysis of the number of households earning over $200,000 between the 2000 Census and the 2006-8 American Community Survey comes with two large caveats. The first is that the numbers are not inflation adjusted and that the approximate 25% inflation rate between 2000 and 2008 is a strong contributory factor in the large increase in the over $200,000 income category. Secondly, it must be remembered that the American Community Survey&#8217;s data was collected at the height of the boom (2006-8), literally at the cusp of the Bush Recession. There is evidence that the real estate bust has disproportionately wreaked havoc on Black neighborhoods, both poor and newly wealthy.</p>
<p>One of the reasons why <em>nouveau riche</em> Black neighborhoods have high foreclosure rates compared to White and Asian-American neighborhoods is the lack of a financial cushion. In the May 2010, a <span style="text-decoration: underline;">Research and Policy Brief</span> of Brandeis University&#8217;s <strong>Institute on Assets and</strong> <strong>Social Policy</strong> found that high income Whites have a median wealth of $240,000 (excluding real estate) compared to a meager $18,000 for high income Blacks, (&#8220;The Racial Wealth Gap Increases Fourfold&#8221; by Shapiro, Meschede, and Sullivan). Having built up significant wealth, White families are much better able to withstand a bad economy than Black families. Even more startling is that the study found that the overall wealth gap between Blacks and Whites has quadrupled over the last 23 years.</p>
<p>In spite of the caveats, the increase in the number of households earning over $200,000 in the United States between 2000 and 2008 is indeed stunning at 88.2%. Furthermore, the differences between the racial categories are vast. African-Americans increased their number of high income households by 48.9%, whereas Asian-Americans increased their representation by  a stunning 181.%%. Although there are 1/3 as many Asian-Americans households as African-American households, the Community Survey found more than twice as many Asian households earning over $200,000.</p>
<p><strong>Table 1: Households Earning Over $200,000, by Race<br />
</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-32"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<th class="sortable" style="width:100px" align="center">Number of Households with Income over $200,000:      ACS 2006-2008</th>
		<th class="sortable" style="width:100px" align="center">Number of Households with Income over $200,000: Census 2000</th>
		<th class="sortable" style="width:100px" align="center">% Increase</th>
	</tr>
	</thead>
	<tr>
		<td style="width:100px" align="center">United States</td>
		<td style="width:100px" align="center">4,710,621</td>
		<td style="width:100px" align="center">2,502,675</td>
		<td style="width:100px" align="center">88.2%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">Non-Hispanic White</td>
		<td style="width:100px" align="center">3,994,432</td>
		<td style="width:100px" align="center">2,165,393</td>
		<td style="width:100px" align="center">84.5%</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">Asian</td>
		<td style="width:100px" align="center">312,228</td>
		<td style="width:100px" align="center">110,935</td>
		<td style="width:100px" align="center">181.5%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">African-American</td>
		<td style="width:100px" align="center">152,314</td>
		<td style="width:100px" align="center">102,287</td>
		<td style="width:100px" align="center">48.9%</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">Latino</td>
		<td style="width:100px" align="center">198,569</td>
		<td style="width:100px" align="center">95,721</td>
		<td style="width:100px" align="center">107.4%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">Other Races</td>
		<td style="width:100px" align="center">53,078</td>
		<td style="width:100px" align="center">28,339</td>
		<td style="width:100px" align="center">87.3%</td>
	</tr>
</table><p>
</strong></p>
<p><strong><br />
</strong></p>
<p><strong>Washington DC: An Overview</strong></p>
<p>The American Community Survey (2006-8) counted 1,961,388 households in the Washington Metro area. The segregation of the Black and Non-Hispanic White communities has always been historically notable and the newest data illustrates that this pattern is a continuing problem. Prince Georges County, long a haven for the aspiring Black middle class is becoming ever more African-American. Between 2000 and 2008, the percentage of African-Americans in PG has increased from 62.2% of the total households to 66.2%.</p>
<p>In fact, all of the outer counties in the DC area have seen significant increases in all minority groups with the exception of the core communities of the District, Arlington, and Alexandria. The District is certainly headed towards losing it&#8217;s Black majority. Between 2000 and 2008, the number of Black households has declined from 55.7% of all households to 51.0%. There were also declines in Alexandria (19.4% to 18.5%) and Arlington (8.6% to 8.2%).</p>
<p>At the same time, the Non-Hispanic White households have decreased throughout the metro area (60.3% to 56.7% of all households) with the exception of the core communities. The district&#8217;s White household count increased from 33.6% in the 2000 Census to 37.1% in 2008. Alexandria and Arlington also saw significant increases in the their Non-Hispanic White populations. The root of these changes can generally come under the aegis of gentrification and the expansion of the rent gap in those communities. The term &#8220;rent gap&#8221; refers to the difference between the value of the existing real estate and what it might go for if developed to it&#8217;s &#8220;highest use&#8221;. The rent gap is particularly noticeable in Alexandria and Arlington because of their  prime geographic locations close to the District and their relatively high socio-economic status. In other words, they are well located and highly desirable, hence extremely attractive to higher income households. This combination forces lower-income people, often minorities, out and replaces them with professionals that can be of any race.</p>
<p>Mean household income change in Alexandria and Arlington bare out my thoughts on racial change. Non-Hispanic Whites saw their median household income leap by +49.7% in Alexandria to $102,857 and by +50.1% in Arlington to$110,421 in the 2006-8 ACS. During the same time African-American households increased by +27.9% to $48,707 in Alexandria and by +38.9% to $55,832 in Arlington. The income gap between Black in White is a startling 2:1 gap.</p>
<p><strong>Table 2: Race in the Washington DC Metro Area</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-38"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<td style="width:150px" >&nbsp;</td>
		<th class="sortable" style="width:60px" align="center">2008 Black</th>
		<th class="sortable" style="width:60px" align="center">2008 Asian</th>
		<th class="sortable" style="width:60px" align="center">2008 Latino</th>
		<th class="sortable" style="width:60px" align="center">2008 Non-Hispanic White</th>
	</tr>
	</thead>
	<tr>
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:150px" align="center">Metro Area Total</td>
		<td style="width:60px" align="center">26.0%</td>
		<td style="width:60px" align="center">7.3%</td>
		<td style="width:60px" align="center">8.5%</td>
		<td style="width:60px" align="center">56.7%</td>
	</tr>
	<tr>
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:150px" align="center">68 Higley 1000 Neigh.</td>
		<td style="width:60px" align="center">2.0%</td>
		<td style="width:60px" align="center">6.5%</td>
		<td style="width:60px" align="center">2.3%</td>
		<td style="width:60px" align="center">87.7%</td>
	</tr>
	<tr>
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:150px" align="center">District of Columbia</td>
		<td style="width:60px" align="center">51.0%</td>
		<td style="width:60px" align="center">3.5%</td>
		<td style="width:60px" align="center">7.0%</td>
		<td style="width:60px" align="center">37.1%</td>
	</tr>
	<tr>
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:150px" align="center">Montgomery</td>
		<td style="width:60px" align="center">15.8%</td>
		<td style="width:60px" align="center">11.5%</td>
		<td style="width:60px" align="center">10.0%</td>
		<td style="width:60px" align="center">61.3%</td>
	</tr>
	<tr>
		<td style="width:150px" align="center">Prince Georges</td>
		<td style="width:60px" align="center">66.2%</td>
		<td style="width:60px" align="center">3.2%</td>
		<td style="width:60px" align="center">7.9%</td>
		<td style="width:60px" align="center">21.1%</td>
	</tr>
	<tr class="alt">
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:150px" align="center">Fairfax</td>
		<td style="width:60px" align="center">9.2%</td>
		<td style="width:60px" align="center">13.5%</td>
		<td style="width:60px" align="center">9.6%</td>
		<td style="width:60px" align="center">66.3%</td>
	</tr>
	<tr class="alt">
		<td style="width:150px" align="center">Arlington</td>
		<td style="width:60px" align="center">8.2%</td>
		<td style="width:60px" align="center">8.3%</td>
		<td style="width:60px" align="center">10.6%</td>
		<td style="width:60px" align="center">71.1%</td>
	</tr>
	<tr>
		<td style="width:150px" align="center">Alexandria</td>
		<td style="width:60px" align="center">18.5%</td>
		<td style="width:60px" align="center">5.0%</td>
		<td style="width:60px" align="center">8.4%</td>
		<td style="width:60px" align="center">66.4%</td>
	</tr>
	<tr class="alt">
		<td style="width:150px" align="center">Prince William</td>
		<td style="width:60px" align="center">19.4%</td>
		<td style="width:60px" align="center">6.4%</td>
		<td style="width:60px" align="center">14.6%</td>
		<td style="width:60px" align="center">57.8%</td>
	</tr>
	<tr>
		<td style="width:150px" align="center">Loudoun</td>
		<td style="width:60px" align="center">8.0%</td>
		<td style="width:60px" align="center">10.6%</td>
		<td style="width:60px" align="center">8.1%</td>
		<td style="width:60px" align="center">72.1%</td>
	</tr>
	<tr class="alt">
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:150px" align="center">All Other</td>
		<td style="width:60px" align="center">14.0%</td>
		<td style="width:60px" align="center">1.8%</td>
		<td style="width:60px" align="center">4.7%</td>
		<td style="width:60px" align="center">77.3%</td>
	</tr>
</table><p>
</strong></p>
<p><strong><br />
</strong></p>
<p><strong>The Highest Income Neighborhoods of the Washington Metro Area</strong></p>
<p>The 68 <strong>Higley 1000</strong> neighborhoods are overwhelmingly Non-Hispanic White with strong Asian-American representation. Although Non-Hispanic Whites made-up 60.3% of the Metro area&#8217;s households, they made up 87.7% of the Higley 1000 households. The African-American household representation in the wealthiest precincts of metro Washington is negligible at 1.99%.</p>
<p>The highest income neighborhoods are heavily concentrated geographically. Of the 68 Higley 1000 neighborhoods in DC, all but 4 neighborhoods march up both shores of the Potomac River. There are 9 Higley 1000 neighborhoods in the District, 31 in Montgomery County, and 28 in Virginia. All of the Virginian Higley 1000 neighborhoods are found in Fairfax County (26) and Arlington (2).</p>
<p><strong>Map of the Higley 1000 District of Columbia Neighborhoods</strong></p>
<p><strong><iframe width="460" height="600" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.000434c1342f9d404a7a6&amp;ll=38.93471,-77.082481&amp;spn=0.080117,0.078964&amp;z=13&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.000434c1342f9d404a7a6&amp;ll=38.93471,-77.082481&amp;spn=0.080117,0.078964&amp;z=13&amp;source=embed" style="color:#0000FF;text-align:left">District of Columbia</a> in a larger map</small></strong></p>
<p><strong><br />
</strong></p>
<p><strong>Map of the Higley 1000 Montgomery County Neighborhoods</strong></p>
<p><strong><iframe width="425" height="450" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hq=&amp;hnear=640+Park+Forest+Ln,+Alabaster,+Shelby,+Alabama+35115&amp;msa=0&amp;msid=109694166348599969067.000434c1f269f157463d3&amp;ll=39.012248,-77.178268&amp;spn=0.240089,0.291824&amp;z=11&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hq=&amp;hnear=640+Park+Forest+Ln,+Alabaster,+Shelby,+Alabama+35115&amp;msa=0&amp;msid=109694166348599969067.000434c1f269f157463d3&amp;ll=39.012248,-77.178268&amp;spn=0.240089,0.291824&amp;z=11&amp;source=embed" style="color:#0000FF;text-align:left">Chevy  Chase-Bethesda-Potomac</a> in a larger map</small></strong></p>
<p><strong><br />
</strong></p>
<p><strong>Map of the Higley 1000 Arlington-Fairfax County Neighborhoods</strong></p>
<p><strong><iframe width="425" height="450" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.0004380dc9c1dac476013&amp;ll=38.964214,-77.242126&amp;spn=0.240252,0.291824&amp;z=11&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.0004380dc9c1dac476013&amp;ll=38.964214,-77.242126&amp;spn=0.240252,0.291824&amp;z=11&amp;source=embed" style="color:#0000FF;text-align:left">Fairfax County- Potomac River</a> in a larger map</small></strong></p>
<p><strong><br />
</strong></p>
<p><strong>Table 3: The Ten Wealthiest Neighborhoods in Metro Washington</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-34"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:100px" align="center">Rank</th>
		<th class="sortable" style="width:100px" align="center">Neighborhood</th>
		<th class="sortable" style="width:100px" align="center">Mean Household Income: 2000</th>
		<th class="sortable" style="width:100px" align="center">Locater</th>
	</tr>
	</thead>
	<tr>
		<td style="width:100px" align="center">1</td>
		<td style="width:100px" align="center">Potomac Manors-Potomac Falls</td>
		<td style="width:100px" align="center">$377,621</td>
		<td style="width:100px" align="center">Potomac</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">2</td>
		<td style="width:100px" align="center">Carderock-Mazza Woods</td>
		<td style="width:100px" align="center">$347,285</td>
		<td style="width:100px" align="center">Potomac</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">3</td>
		<td style="width:100px" align="center">Potomac Hunt Acres-Lake Potomac</td>
		<td style="width:100px" align="center">$342,637</td>
		<td style="width:100px" align="center">Travilah</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">4</td>
		<td style="width:100px" align="center">Bradley Manor-Longwood</td>
		<td style="width:100px" align="center">$330,211</td>
		<td style="width:100px" align="center">Bethesda</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">5</td>
		<td style="width:100px" align="center">Langley</td>
		<td style="width:100px" align="center">$329,416</td>
		<td style="width:100px" align="center">McLean</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">6</td>
		<td style="width:100px" align="center">Kenwood</td>
		<td style="width:100px" align="center">$326,691</td>
		<td style="width:100px" align="center">Bethesda</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">7</td>
		<td style="width:100px" align="center">Swinks Mill</td>
		<td style="width:100px" align="center">$312,949</td>
		<td style="width:100px" align="center">McLean</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">8</td>
		<td style="width:100px" align="center">Avenall-Clewerall</td>
		<td style="width:100px" align="center">$308,034</td>
		<td style="width:100px" align="center">Potomac</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">9</td>
		<td style="width:100px" align="center">Potomac Village-Falconhurst</td>
		<td style="width:100px" align="center">$290,023</td>
		<td style="width:100px" align="center">Potomac</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">10</td>
		<td style="width:100px" align="center">Chevy Chase Village</td>
		<td style="width:100px" align="center">$280,781</td>
		<td style="width:100px" align="center">Chevy Chase</td>
	</tr>
</table><p>
</strong></p>
<p><strong><br />
</strong></p>
<p>The only four Higley 1000 neighborhoods that are not along the Potomac corridor are all located in Virginia:<strong> Old Town</strong> in Alexandria, <strong>Yacht Haven</strong> in Mount Vernon (both found further down the Potomac) as well as two exurban neighborhoods in southern Fairfax: <strong>Fountainhead</strong> and <strong>Ardmore-Brimstone</strong>. As any DC resident might expect, <strong>McLean</strong> neighborhoods dominate the Virginia side of the river and <strong>Chevy Chase, Bethesda</strong>, and <strong>Potomac</strong> neighborhoods dominate the Maryland side.</p>
<p><strong>Wealthy African-American Households in Washington D.C.</strong></p>
<p>Although  affluent African-American households make-up a minuscule 2% of the Higley 1000 neighborhoods in the Washington metro area, they are quite prominent in other areas that range from lovely gracious older neighborhoods in the District to the nouveau riche McMansions of <strong>Woodmore</strong>, Maryland. In fact, the American Community Survey shows that the number of Black households with incomes of over $200,000 in the Washington area are second only to New York City&#8217;s metro area and of course, the overall population of the New York&#8217;s metro area is three times larger than Washington.</p>
<p><strong>Table 4: African-American Households with Incomes over $200,000 by Metro Area and Central City</strong> <strong>(ACS 2006-8)</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-35"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:50px" align="center">Rank</th>
		<th class="sortable" style="width:120px" align="center">Metro Areas</th>
		<th class="sortable" style="width:120px" align="center">African-American Households with over $200,000 Income</th>
		<th class="sortable" style="width:120px" align="center">In Central City</th>
	</tr>
	</thead>
	<tr>
		<td style="width:50px" align="center">1</td>
		<td style="width:120px" align="center">New York City</td>
		<td style="width:120px" align="center">25,889</td>
		<td style="width:120px" align="center">10,039</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">2</td>
		<td style="width:120px" align="center">Washington DC</td>
		<td style="width:120px" align="center">21,317</td>
		<td style="width:120px" align="center">2,806</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">3</td>
		<td style="width:120px" align="center">Los Angeles</td>
		<td style="width:120px" align="center">11,109</td>
		<td style="width:120px" align="center">2,751</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">4</td>
		<td style="width:120px" align="center">Atlanta</td>
		<td style="width:120px" align="center">7,767</td>
		<td style="width:120px" align="center">1,131</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">5</td>
		<td style="width:120px" align="center">Chicago</td>
		<td style="width:120px" align="center">7,012</td>
		<td style="width:120px" align="center">3,133</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">6</td>
		<td style="width:120px" align="center">Dallas</td>
		<td style="width:120px" align="center">4,605</td>
		<td style="width:120px" align="center">548</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">7</td>
		<td style="width:120px" align="center">Houston</td>
		<td style="width:120px" align="center">4,481</td>
		<td style="width:120px" align="center">1,145</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">8</td>
		<td style="width:120px" align="center">Philadelphia</td>
		<td style="width:120px" align="center">4,414</td>
		<td style="width:120px" align="center">999</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">9</td>
		<td style="width:120px" align="center">Detroit</td>
		<td style="width:120px" align="center">3,742</td>
		<td style="width:120px" align="center">1,322</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">10</td>
		<td style="width:120px" align="center">Baltimore</td>
		<td style="width:120px" align="center">3,725</td>
		<td style="width:120px" align="center">602</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">11</td>
		<td style="width:120px" align="center">Miami</td>
		<td style="width:120px" align="center">3,139</td>
		<td style="width:120px" align="center">111</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">12</td>
		<td style="width:120px" align="center">Oakland</td>
		<td style="width:120px" align="center">3,014</td>
		<td style="width:120px" align="center">806</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">13</td>
		<td style="width:120px" align="center">Boston</td>
		<td style="width:120px" align="center">2,165</td>
		<td style="width:120px" align="center">590</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">14</td>
		<td style="width:120px" align="center">Charlotte</td>
		<td style="width:120px" align="center">1,828</td>
		<td style="width:120px" align="center">970</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">15</td>
		<td style="width:120px" align="center">Orlando</td>
		<td style="width:120px" align="center">1,278</td>
		<td style="width:120px" align="center">256</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">16</td>
		<td style="width:120px" align="center">Tampa</td>
		<td style="width:120px" align="center">1,263</td>
		<td style="width:120px" align="center">383</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">17</td>
		<td style="width:120px" align="center">Cleveland</td>
		<td style="width:120px" align="center">1,204</td>
		<td style="width:120px" align="center">244</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">18</td>
		<td style="width:120px" align="center">San Diego</td>
		<td style="width:120px" align="center">1,189</td>
		<td style="width:120px" align="center">758</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">19</td>
		<td style="width:120px" align="center">Sacramento</td>
		<td style="width:120px" align="center">1,174</td>
		<td style="width:120px" align="center">258</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">20</td>
		<td style="width:120px" align="center">Raleigh</td>
		<td style="width:120px" align="center">1,133</td>
		<td style="width:120px" align="center">251</td>
	</tr>
</table><p>
</strong></p>
<p>Yet another way to breakdown Black affluence is to look at the counties in United States with the highest number of households with incomes over $200,000 and the undisputed leader is Prince Georges County. PG handily beats outs #2 Los Angeles County&#8212; a remarkable fact considering LA County has 10 times as many people!</p>
<p><strong>Table 5: The Thirty-Three Counties in the United States with the Largest Number of Households earning over $200,000</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-36"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:50px" align="center">Rank</th>
		<th class="sortable" style="width:120px" align="center">County</th>
		<th class="sortable" style="width:50px" align="center">ST</th>
		<th class="sortable" style="width:120px" align="center">African-American Households Over $200,000 Income</th>
	</tr>
	</thead>
	<tr>
		<td style="width:50px" align="center">1</td>
		<td style="width:120px" align="center">Prince Georges</td>
		<td style="width:50px" align="center">MD</td>
		<td style="width:120px" align="center">8,397</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">2</td>
		<td style="width:120px" align="center">Los Angeles</td>
		<td style="width:50px" align="center">CA</td>
		<td style="width:120px" align="center">7,489</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">3</td>
		<td style="width:120px" align="center">Cook</td>
		<td style="width:50px" align="center">IL</td>
		<td style="width:120px" align="center">5,020</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">4</td>
		<td style="width:120px" align="center">Kings</td>
		<td style="width:50px" align="center">NY</td>
		<td style="width:120px" align="center">4,490</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">5</td>
		<td style="width:120px" align="center">Montgomery</td>
		<td style="width:50px" align="center">MD</td>
		<td style="width:120px" align="center">2,894</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">6</td>
		<td style="width:120px" align="center">Nassau</td>
		<td style="width:50px" align="center">NY</td>
		<td style="width:120px" align="center">2,746</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">7</td>
		<td style="width:120px" align="center">Harris</td>
		<td style="width:50px" align="center">TX</td>
		<td style="width:120px" align="center">2,709</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">8</td>
		<td style="width:120px" align="center">Queens</td>
		<td style="width:50px" align="center">NY</td>
		<td style="width:120px" align="center">2,466</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">9</td>
		<td style="width:120px" align="center">Fulton</td>
		<td style="width:50px" align="center">GA</td>
		<td style="width:120px" align="center">2,445</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">10</td>
		<td style="width:120px" align="center">Fairfax</td>
		<td style="width:50px" align="center">VA</td>
		<td style="width:120px" align="center">2,437</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">11</td>
		<td style="width:120px" align="center">Essex</td>
		<td style="width:50px" align="center">NJ</td>
		<td style="width:120px" align="center">2,096</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">12</td>
		<td style="width:120px" align="center">Manhattan</td>
		<td style="width:50px" align="center">NY</td>
		<td style="width:120px" align="center">1,838</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">13</td>
		<td style="width:120px" align="center">Dallas</td>
		<td style="width:50px" align="center">TX</td>
		<td style="width:120px" align="center">1,806</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">14</td>
		<td style="width:120px" align="center">Alameda</td>
		<td style="width:50px" align="center">CA</td>
		<td style="width:120px" align="center">1,777</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">15</td>
		<td style="width:120px" align="center">DeKalb</td>
		<td style="width:50px" align="center">GA</td>
		<td style="width:120px" align="center">1,776</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">16</td>
		<td style="width:120px" align="center">Westchester</td>
		<td style="width:50px" align="center">NY</td>
		<td style="width:120px" align="center">1,741</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">17</td>
		<td style="width:120px" align="center">Wayne</td>
		<td style="width:50px" align="center">MI</td>
		<td style="width:120px" align="center">1,691</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">18</td>
		<td style="width:120px" align="center">Broward</td>
		<td style="width:50px" align="center">FL</td>
		<td style="width:120px" align="center">1,650</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">19</td>
		<td style="width:120px" align="center">Prince William</td>
		<td style="width:50px" align="center">VA</td>
		<td style="width:120px" align="center">1,487</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">20</td>
		<td style="width:120px" align="center">Oakland</td>
		<td style="width:50px" align="center">MI</td>
		<td style="width:120px" align="center">1,413</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">21</td>
		<td style="width:120px" align="center">San Bernardino</td>
		<td style="width:50px" align="center">CA</td>
		<td style="width:120px" align="center">1,307</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">22</td>
		<td style="width:120px" align="center">Contra Costa</td>
		<td style="width:50px" align="center">CA</td>
		<td style="width:120px" align="center">1,237</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">23</td>
		<td style="width:120px" align="center">Mecklenburg</td>
		<td style="width:50px" align="center">NC</td>
		<td style="width:120px" align="center">1,223</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">24</td>
		<td style="width:120px" align="center">Howard</td>
		<td style="width:50px" align="center">MD</td>
		<td style="width:120px" align="center">1,216</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">25</td>
		<td style="width:120px" align="center">San Diego</td>
		<td style="width:50px" align="center">CA</td>
		<td style="width:120px" align="center">1,189</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">26</td>
		<td style="width:120px" align="center">Riverside</td>
		<td style="width:50px" align="center">CA</td>
		<td style="width:120px" align="center">1,123</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">27</td>
		<td style="width:120px" align="center">Union</td>
		<td style="width:50px" align="center">NJ</td>
		<td style="width:120px" align="center">1,104</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">28</td>
		<td style="width:120px" align="center">Miami-Dade</td>
		<td style="width:50px" align="center">FL</td>
		<td style="width:120px" align="center">1,051</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">29</td>
		<td style="width:120px" align="center">Bergen</td>
		<td style="width:50px" align="center">NJ</td>
		<td style="width:120px" align="center">1,049</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">30</td>
		<td style="width:120px" align="center">Orange</td>
		<td style="width:50px" align="center">CA</td>
		<td style="width:120px" align="center">1,046</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">31</td>
		<td style="width:120px" align="center">Bronx</td>
		<td style="width:50px" align="center">NY</td>
		<td style="width:120px" align="center">1,021</td>
	</tr>
	<tr class="alt">
		<td style="width:50px" align="center">32</td>
		<td style="width:120px" align="center">Tarrant</td>
		<td style="width:50px" align="center">TX</td>
		<td style="width:120px" align="center">1,017</td>
	</tr>
	<tr>
		<td style="width:50px" align="center">33</td>
		<td style="width:120px" align="center">Loudoun</td>
		<td style="width:50px" align="center">VA</td>
		<td style="width:120px" align="center">1,011</td>
	</tr>
</table><p>
</strong></p>
<p><strong><br />
</strong></p>
<p>There are three geographic clusters of Black affluence in the Washington metro area. Two are located in Prince Georges County: the <strong>Fort Washington</strong> area and a cluster of neighborhoods that are located in the <strong>Lake Arbor-Woodmore-Bowie</strong> area. The most affluent string of neighborhoods with a strong African-American presence is found just to the east of Rock Creek Park in the District of Columbia.</p>
<p>The three clusters together have 20 neighborhoods and are approximately 2/3 African-American and 1/3 Non-Hispanic White. Asians and Hispanics are statistically insignificant in all three clusters. When the twenty neighborhoods are aggregated, the 2000 Census shows that the White population has a small mean household income advantage ($123,870 for Whites vs. $114,080 for Blacks). The highest income neighborhood for African-Americans in the entire metro area is found in <strong>Colonial Village</strong> ($196,587), a gracious and charming neighborhood featuring lovely commodious homes that were generally built from the 1920s into the 1950s.</p>
<p><strong>Table 6: Three Clusters of African-American Wealth in the Washington Metro Area</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-40"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<td style="width:20px" >&nbsp;</td>
		<th class="sortable" style="width:150px" align="center">Neighborhood</th>
		<th class="sortable" style="width:60px" align="center">Percent Black</th>
		<th class="sortable" style="width:60px" align="center">Mean Household Income</th>
		<th class="sortable" style="width:60px" align="center">Community</th>
	</tr>
	</thead>
	<tr>
		<td style="width:20px" >&nbsp;</td>
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" >&nbsp;</td>
		<td style="width:150px" align="center">Washington DC</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:20px" align="center">1</td>
		<td style="width:150px" align="center">Colonial Village</td>
		<td style="width:60px" align="center">62.3%</td>
		<td style="width:60px" align="center">166,504</td>
		<td style="width:60px" align="center">Washington DC</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">2</td>
		<td style="width:150px" align="center">N Portal Ests-Rock Creek Gardens</td>
		<td style="width:60px" align="center">65.2%</td>
		<td style="width:60px" align="center">144,867</td>
		<td style="width:60px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:20px" >&nbsp;</td>
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">3</td>
		<td style="width:150px" align="center">Hawthorne</td>
		<td style="width:60px" align="center">26.9%</td>
		<td style="width:60px" align="center">133,911</td>
		<td style="width:60px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:20px" align="center">4</td>
		<td style="width:150px" align="center">Shepherd Park</td>
		<td style="width:60px" align="center">73.5%</td>
		<td style="width:60px" align="center">113,019</td>
		<td style="width:60px" align="center">Washington DC</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">5</td>
		<td style="width:150px" align="center">Crestwood</td>
		<td style="width:60px" align="center">31.0%</td>
		<td style="width:60px" align="center">108,891</td>
		<td style="width:60px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:20px" >&nbsp;</td>
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">6</td>
		<td style="width:150px" align="center">Mount Pleasant Southwest</td>
		<td style="width:60px" align="center">70.0%</td>
		<td style="width:60px" align="center">108,085</td>
		<td style="width:60px" align="center">Washington DC</td>
	</tr>
	<tr>
		<td style="width:20px" >&nbsp;</td>
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" >&nbsp;</td>
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:20px" >&nbsp;</td>
		<td style="width:150px" align="center">Woodmore-Bowie-Lake Arbor</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">7</td>
		<td style="width:150px" align="center">Dunwood Valley</td>
		<td style="width:60px" align="center">58.5%</td>
		<td style="width:60px" align="center">154,971</td>
		<td style="width:60px" align="center">Woodmore-Bowie</td>
	</tr>
	<tr>
		<td style="width:20px" align="center">8</td>
		<td style="width:150px" align="center">The Country Club at Woodmore</td>
		<td style="width:60px" align="center">73.4%</td>
		<td style="width:60px" align="center">134,615</td>
		<td style="width:60px" align="center">Woodmore</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">9</td>
		<td style="width:150px" align="center">Tall Oaks Crossing</td>
		<td style="width:60px" align="center">71.5%</td>
		<td style="width:60px" align="center">117,283</td>
		<td style="width:60px" align="center">Woodmore-Bowie</td>
	</tr>
	<tr>
		<td style="width:20px" align="center">10</td>
		<td style="width:150px" align="center">Brady Estates-Bermondsey</td>
		<td style="width:60px" align="center">80.9%</td>
		<td style="width:60px" align="center">115,832</td>
		<td style="width:60px" align="center">Woodmore</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">11</td>
		<td style="width:150px" align="center">Marleigh-Old Stage</td>
		<td style="width:60px" align="center">34.9%</td>
		<td style="width:60px" align="center">110,745</td>
		<td style="width:60px" align="center">Woodmore-Bowie</td>
	</tr>
	<tr>
		<td style="width:20px" align="center">12</td>
		<td style="width:150px" align="center">Oak Creek-Collington Station</td>
		<td style="width:60px" align="center">89.7%</td>
		<td style="width:60px" align="center">109,824</td>
		<td style="width:60px" align="center">Greater Marlboro-Bowie</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">13</td>
		<td style="width:150px" align="center">Newbridge CC-Woodview Village</td>
		<td style="width:60px" align="center">90.5%</td>
		<td style="width:60px" align="center">104,164</td>
		<td style="width:60px" align="center">Lake Arbor</td>
	</tr>
	<tr>
		<td style="width:20px" align="center">14</td>
		<td style="width:150px" align="center">Oak Tree</td>
		<td style="width:60px" align="center">32.0%</td>
		<td style="width:60px" align="center">103,006</td>
		<td style="width:60px" align="center">Bowie</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">21</td>
		<td style="width:150px" align="center">Perrywood-Brock Hall Manor</td>
		<td style="width:60px" align="center">86.8%</td>
		<td style="width:60px" align="center">101,928</td>
		<td style="width:60px" align="center">Greater Marlboro</td>
	</tr>
	<tr>
		<td style="width:20px" >&nbsp;</td>
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" >&nbsp;</td>
		<td style="width:150px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:20px" >&nbsp;</td>
		<td style="width:150px" align="center">Fort Washington</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">15</td>
		<td style="width:150px" align="center">Tantallon Country Club</td>
		<td style="width:60px" align="center">52.7%</td>
		<td style="width:60px" align="center">157,632</td>
		<td style="width:60px" align="center">Fort Washington</td>
	</tr>
	<tr>
		<td style="width:20px" align="center">16</td>
		<td style="width:150px" align="center">Indian Queen Estates</td>
		<td style="width:60px" align="center">70.0%</td>
		<td style="width:60px" align="center">114,982</td>
		<td style="width:60px" align="center">Fort Washington</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">17</td>
		<td style="width:150px" align="center">Friendly Farms</td>
		<td style="width:60px" align="center">66.5%</td>
		<td style="width:60px" align="center">106,338</td>
		<td style="width:60px" align="center">Friendly</td>
	</tr>
	<tr>
		<td style="width:20px" align="center">18</td>
		<td style="width:150px" align="center">Broadwater Estates-Tantallon North</td>
		<td style="width:60px" align="center">66.6%</td>
		<td style="width:60px" align="center">104,027</td>
		<td style="width:60px" align="center">Fort Washington</td>
	</tr>
	<tr class="alt">
		<td style="width:20px" align="center">19</td>
		<td style="width:150px" align="center">Ft Washington-Piscataway Estates</td>
		<td style="width:60px" align="center">68.5%</td>
		<td style="width:60px" align="center">102,770</td>
		<td style="width:60px" align="center">Fort Washington</td>
	</tr>
	<tr>
		<td style="width:20px" align="center">20</td>
		<td style="width:150px" align="center">Tantallon Hills</td>
		<td style="width:60px" align="center">46.8%</td>
		<td style="width:60px" align="center">102,101</td>
		<td style="width:60px" align="center">Fort Washington</td>
	</tr>
</table><p>
</strong></p>
<p><strong><br />
</strong></p>
<p><strong>Map of the Affluent African-American Neighborhoods in the District of Columbia</strong></p>
<p><strong><iframe width="450" height="650" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hq=&amp;hnear=640+Park+Forest+Ln,+Alabaster,+Shelby,+Alabama+35115&amp;msa=0&amp;msid=109694166348599969067.000483b9e4a52f1fb2d8e&amp;ll=38.962078,-77.044373&amp;spn=0.08676,0.077248&amp;z=13&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hq=&amp;hnear=640+Park+Forest+Ln,+Alabaster,+Shelby,+Alabama+35115&amp;msa=0&amp;msid=109694166348599969067.000483b9e4a52f1fb2d8e&amp;ll=38.962078,-77.044373&amp;spn=0.08676,0.077248&amp;z=13&amp;source=embed" style="color:#0000FF;text-align:left">Washington DC - Wealthy Black Neighborhoods</a> in a larger map</small></strong></p>
<p><strong><br />
</strong></p>
<p><strong>Map of the Affluent African-American Neighborhoods in the Fort Washington Area</strong></p>
<p><strong><iframe width="425" height="400" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hq=&amp;hnear=640+Park+Forest+Ln,+Alabaster,+Shelby,+Alabama+35115&amp;msa=0&amp;msid=109694166348599969067.000480af97f4bc5f9973d&amp;ll=38.729179,-76.982918&amp;spn=0.107132,0.145912&amp;z=12&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hq=&amp;hnear=640+Park+Forest+Ln,+Alabaster,+Shelby,+Alabama+35115&amp;msa=0&amp;msid=109694166348599969067.000480af97f4bc5f9973d&amp;ll=38.729179,-76.982918&amp;spn=0.107132,0.145912&amp;z=12&amp;source=embed" style="color:#0000FF;text-align:left">Prince George's-Fort Washington </a> in a larger map</small></strong></p>
<p><strong><br />
</strong></p>
<p><strong>Map of the Affluent African-American Neighborhoods in the Lake Arbor-Woodmore-Bowie area</strong></p>
<p><strong><iframe width="425" height="600" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hq=&amp;hnear=640+Park+Forest+Ln,+Alabaster,+Shelby,+Alabama+35115&amp;msa=0&amp;msid=109694166348599969067.000480aafebef7fc05757&amp;ll=38.91401,-76.781387&amp;spn=0.160281,0.145912&amp;z=12&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hq=&amp;hnear=640+Park+Forest+Ln,+Alabaster,+Shelby,+Alabama+35115&amp;msa=0&amp;msid=109694166348599969067.000480aafebef7fc05757&amp;ll=38.91401,-76.781387&amp;spn=0.160281,0.145912&amp;z=12&amp;source=embed" style="color:#0000FF;text-align:left">Woodmore-Bowie-Lake Arbor</a> in a larger map</small></strong></p>
<p><strong><br />
</strong></p>
]]></content:encoded>
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		</item>
		<item>
		<title>Latinos Become Largest Racial Group in Miami-Fort Lauderdale-Palm Beach Metro Area</title>
		<link>http://higley1000.com/archives/241</link>
		<comments>http://higley1000.com/archives/241#comments</comments>
		<pubDate>Tue, 16 Feb 2010 02:36:59 +0000</pubDate>
		<dc:creator>Stephen Higley</dc:creator>
				<category><![CDATA[Metro Briefs]]></category>
		<category><![CDATA[Racial Diversity]]></category>
		<category><![CDATA[The US Census]]></category>

		<guid isPermaLink="false">http://higley1000.com/?p=241</guid>
		<description><![CDATA[However you look at it, the 2006-8 American Community Survey portrays a watershed year for the Miami-Fort Lauderdale-Palm Beach Metropolitan Statistical Area. There are now 2,099,334 Latinos in the three county metro area versus 2,072,807 Non-Hispanic Whites. Eight years ago, Non-Hispanic Whites were clearly the largest racial group with 44.1%  of the metro population. However [...]]]></description>
				<content:encoded><![CDATA[<p>However you look at it, the 2006-8 American Community Survey portrays a watershed year for the <strong>Miami-Fort</strong> <strong>Lauderdale-Palm Beach Metropolitan Statistical Area</strong>. There are now 2,099,334 Latinos in the three county metro area versus 2,072,807 Non-Hispanic Whites. Eight years ago, Non-Hispanic Whites were clearly the largest racial group with 44.1%  of the metro population. However with an absolute drop in number of 133,000 since the last Census and a surge in the Hispanic population (by 395,000) has brought the two racial categories to rough parity (Latino&#8217;s can be of any race, and most categorize themselves as &#8220;White&#8221;).</p>
<p>The story of Miami-Dade County&#8217;s transformation into a Hispanic majority county is a twenty year old story. The county was at the tipping point when the 1990 Census was taken and that tally showed that Miami-Dade was 49.2% Latino. That grew to 56.4% in the 2000 Census and the 2008 ACS shows that trend has continued and the percentage of Hispanics has now grown to 61.8%. Large increases in the Hispanic population in both Broward and Palm Beach counties have now made Latinos a plurality, if not a majority,  in the three county metro area.</p>
<p>African-Americans and Asian-Americans both have a growing presence in the metro area. Blacks now make up 19.2% of the population, up from 18.9% in 2000. The relatively small but fast growing Asian-American population increased to 2.1% from 1.7%.</p>
<p>Please note that <strong>Fort Lauderdale</strong> and <strong>Palm Beach County</strong> will be explored in forthcoming postings. This posting is about the overall three county metro area and <strong>Miami-Dade</strong>.</p>
<p><strong>Table One: Miami Metro Population by Race</strong></p>
<p><strong></p>
<h2>Miami Race - 2008 and 2000</h2>
<table class="wptable rowstyle-alt" id="wptable-27"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:90px" align="left">Race or Ancestry</th>
		<th class="sortable" style="width:80px" align="left">Detail</th>
		<th class="sortable" style="width:90px" align="center">Year 2008</th>
		<th class="sortable" style="width:90px" align="center">Year 2000</th>
		<th class="sortable" style="width:40px" align="center">Percent Increase or Decrease</th>
	</tr>
	</thead>
	<tr>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:40px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:90px" align="left">Miami Metro Population</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:90px" align="center">5,403,075</td>
		<td style="width:90px" align="center">5,180,981</td>
		<td style="width:40px" align="center">4.3%</td>
	</tr>
	<tr>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:40px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:90px" align="left">Non-Hispanic White</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:90px" align="center">2,072,807</td>
		<td style="width:90px" align="center">2,205,850</td>
		<td style="width:40px" align="center">-6.0%</td>
	</tr>
	<tr>
		<td style="width:90px" align="left">African-American</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:90px" align="center">1,035,155</td>
		<td style="width:90px" align="center">898,846</td>
		<td style="width:40px" align="center">15.2%</td>
	</tr>
	<tr class="alt">
		<td style="width:90px" align="left">Asian</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:90px" align="center">112,056</td>
		<td style="width:90px" align="center">82,703</td>
		<td style="width:40px" align="center">35.5%</td>
	</tr>
	<tr>
		<td style="width:90px" align="left">Latino</td>
		<td style="width:80px" align="left">All Latino</td>
		<td style="width:90px" align="center">2,099,334</td>
		<td style="width:90px" align="center">1,785,004</td>
		<td style="width:40px" align="center">17.6%</td>
	</tr>
	<tr class="alt">
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" align="left">Cuban</td>
		<td style="width:90px" align="center">887,178</td>
		<td style="width:90px" align="center">726,898</td>
		<td style="width:40px" align="center">22.0%</td>
	</tr>
	<tr>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" align="left">Puerto Rican</td>
		<td style="width:90px" align="center">193,688</td>
		<td style="width:90px" align="center">160,435</td>
		<td style="width:40px" align="center">20.7%</td>
	</tr>
	<tr class="alt">
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" align="left">Colombian</td>
		<td style="width:90px" align="center">175,961</td>
		<td style="width:90px" align="center">108,574</td>
		<td style="width:40px" align="center">62.1%</td>
	</tr>
	<tr>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" align="left">Mexican</td>
		<td style="width:90px" align="center">121,885</td>
		<td style="width:90px" align="center">87,645</td>
		<td style="width:40px" align="center">39.1%</td>
	</tr>
	<tr class="alt">
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" align="left">Nicaraguan</td>
		<td style="width:90px" align="center">114,314</td>
		<td style="width:90px" align="center">74,521</td>
		<td style="width:40px" align="center">53.4%</td>
	</tr>
	<tr>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" align="left">Dominican</td>
		<td style="width:90px" align="center">85,146</td>
		<td style="width:90px" align="center">50,601</td>
		<td style="width:40px" align="center">68.3%</td>
	</tr>
	<tr class="alt">
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" align="left">Honduran</td>
		<td style="width:90px" align="center">69,161</td>
		<td style="width:90px" align="center">33,386</td>
		<td style="width:40px" align="center">107.2%</td>
	</tr>
	<tr>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" align="left">Venezuelan</td>
		<td style="width:90px" align="center">68,761</td>
		<td style="width:90px" align="center">32,236</td>
		<td style="width:40px" align="center">113.3%</td>
	</tr>
	<tr class="alt">
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" align="left">Peruvian</td>
		<td style="width:90px" align="center">64,526</td>
		<td style="width:90px" align="center">35,743</td>
		<td style="width:40px" align="center">80.5%</td>
	</tr>
	<tr>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" align="left">Guatemalan</td>
		<td style="width:90px" align="center">48,608</td>
		<td style="width:90px" align="center">18,846</td>
		<td style="width:40px" align="center">157.9%</td>
	</tr>
	<tr class="alt">
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:40px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:90px" align="left">All Other</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:90px" align="center">83,723</td>
		<td style="width:90px" align="center">208,578</td>
		<td style="width:40px" align="center">-59.9%</td>
	</tr>
</table><p>
</strong></p>
<p><strong>Miami&#8217;s Latinos: A Virtual OAS (Organization of American States)</strong></p>
<p>The Miami metro area has come to be defined by the large contingent of Cuban-Americans that have emigrated to the city of Miami and Miami-Dade County in great numbers over the last 50 years. Although Cubans make up the largest single ancestry group of all Latinos with 42.3% of the metro area&#8217;s  Latino population, the constellation of other Latino groups are actually growing faster than the Cuban population.</p>
<div class="wp-caption alignnone" style="width: 510px"><a href="http://www.flickr.com/photos/copelaes/4282405281/"><img class=" " title="The Colon Market in the historic Cuban district of Miami.  Photo by copelaes." src="http://farm3.static.flickr.com/2705/4282405281_7db33ffb2d_d.jpg" alt="The Colon Market in the historic Cuban district of Miami.  Photo by copelaes." width="500" height="375" /></a><p class="wp-caption-text">The Colon Market in the historic Cuban district of Miami.  Photo by copelaes.  Click to visit the original photo on Flickr. </p></div>
<p>The growth of the Cuban population has been spasmodic due to the shifting nature of Cuban-American political tensions. Cuba&#8217;s upper-middle class departed <em>en masse</em> once Castro began confiscating their material wealth. This first wave, the <em>Historicos</em>, were the well-educated upper-middle to upper class Cubans that lost everything when Communism socialized their possessions. Miami was the logical destination of choice for many of these political and economic refugees. Most started with very little material wealth but an abundance of talent and ability.</p>
<p>They first settled in the central city of Miami bringing a Latin vitality to Calle Ocho (8th Street). However, it wasn&#8217;t long before the suburban migration began in earnest. The migration to places like <strong>Coral Gables, Doral</strong><strong>, Key Biscayne, </strong> and <strong>Miami Lakes</strong> was a natural progression for an upwardly mobile element of the Latino community. The migration of successful Cubans (and other Hispanics) to Miami&#8217;s best neighborhoods was helped along by the continuing in-migration of Cubans from a much lower socio-economic background (e.g. the Mariel Boat Lift). This may also account for the steeply rising population of affluent Latinos moving to the better neighborhoods in Broward and Palm Beach.</p>
<p>It is not surprising that the well educated and hard-working Cuban minority was soon knocking at the door of financial success and buying into Miami&#8217;s traditional elite neighborhoods, overwhelmingly populated by Non-Hispanic Whites.</p>
<p>No suburb was more a preserve of the traditional elite than <strong>Coral Gables</strong>. By 2008, Hispanics, mainly Cubans, have now reached numerical parity with the Non-Hispanic White population (of mainly German, Irish, English, and Italian extraction).</p>
<p>Hispanics moved increasingly into &#8220;old money&#8221; (what passes for <em>old money</em> in Florida, anyway) places like <strong>Coral Gables</strong> and <strong>Pinecrest</strong>, as well as the out-sized nouveau riche waterfront mansions of Miami&#8217;s rich in places such as Coral Gables&#8217; <strong>Cocoplum</strong>, <strong>Key Biscayne</strong>, and <strong>Miami Beach&#8217;s Star Island.</strong></p>
<p><strong>Beyond the Cubans, Miami&#8217;s other Hispanic Migrants<br />
</strong></p>
<p>Undoubtedly, every country&#8217;s immigration story is different as they provide a steady stream of newcomers to the Miami  area. <strong>Puerto Ricans</strong> make up the second largest group of Latinos and they are by and large economic migrants that lack critically needed skill to prosper quickly.</p>
<p>On the other hand, the influx of <strong>Colombians and Venezuelans</strong> most likely have a large contingent of those countries wealthy White elite. They are escaping endemic violence in Colombia and Hugo Chavez&#8217;s erratically careening march to dictatorship dressed up as Socialism. Like their Cuban <em>compadres</em>, I&#8217;m sure they hope to return to their native land as soon as sanity is restored. The big question is&#8230; at what point does temporary residence become permanent in the wait for things to get &#8220;better&#8221; at home?</p>
<p><strong>Table Two: The Kaleidoscope Of Miami Metro&#8217;s Latino Population</strong></p>
<p><strong></p>
<h2>Latinos by Ethnicity</h2>
<table class="wptable rowstyle-alt" id="wptable-28"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:100px" align="left">Ethnic Origin</th>
		<th class="sortable" style="width:90px" align="center">2006-8 ACS</th>
		<th class="sortable" style="width:90px" align="center">2000 Census</th>
		<th class="sortable" style="width:80px" align="center">Percent Increase</th>
		<th class="sortable" style="width:80px" align="center">Percent of Total Latinos: 2008</th>
	</tr>
	</thead>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:90px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">All Latino or Hispanic</td>
		<td style="width:90px" align="center">2,099,334</td>
		<td style="width:90px" align="center">1,704,064</td>
		<td style="width:80px" align="center">23.2%</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Cuban</td>
		<td style="width:90px" align="center">887,178</td>
		<td style="width:90px" align="center">726,898</td>
		<td style="width:80px" align="center">22.0%</td>
		<td style="width:80px" align="center">42.25%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Puerto Rican</td>
		<td style="width:90px" align="center">193,688</td>
		<td style="width:90px" align="center">160,435</td>
		<td style="width:80px" align="center">20.7%</td>
		<td style="width:80px" align="center">9.22%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Colombian</td>
		<td style="width:90px" align="center">175,961</td>
		<td style="width:90px" align="center">108,574</td>
		<td style="width:80px" align="center">62.1%</td>
		<td style="width:80px" align="center">8.38%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Mexican</td>
		<td style="width:90px" align="center">121,885</td>
		<td style="width:90px" align="center">87,645</td>
		<td style="width:80px" align="center">39.1%</td>
		<td style="width:80px" align="center">5.80%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Nicaraguan</td>
		<td style="width:90px" align="center">114,314</td>
		<td style="width:90px" align="center">74,521</td>
		<td style="width:80px" align="center">53.4%</td>
		<td style="width:80px" align="center">5.44%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Dominican</td>
		<td style="width:90px" align="center">85,146</td>
		<td style="width:90px" align="center">50,601</td>
		<td style="width:80px" align="center">68.3%</td>
		<td style="width:80px" align="center">4.05%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Honduran</td>
		<td style="width:90px" align="center">69,161</td>
		<td style="width:90px" align="center">33,386</td>
		<td style="width:80px" align="center">107.2%</td>
		<td style="width:80px" align="center">3.29%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Venezuelan</td>
		<td style="width:90px" align="center">68,781</td>
		<td style="width:90px" align="center">32,236</td>
		<td style="width:80px" align="center">113.4%</td>
		<td style="width:80px" align="center">3.27%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Peruvian</td>
		<td style="width:90px" align="center">64,526</td>
		<td style="width:90px" align="center">35,743</td>
		<td style="width:80px" align="center">80.5%</td>
		<td style="width:80px" align="center">3.07%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Guatemalan</td>
		<td style="width:90px" align="center">48,608</td>
		<td style="width:90px" align="center">18,846</td>
		<td style="width:80px" align="center">157.9%</td>
		<td style="width:80px" align="center">2.31%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Argentinian</td>
		<td style="width:90px" align="center">38,722</td>
		<td style="width:90px" align="center">18,928</td>
		<td style="width:80px" align="center">104.6%</td>
		<td style="width:80px" align="center">1.84%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Ecuadorean</td>
		<td style="width:90px" align="center">36,141</td>
		<td style="width:90px" align="center">17,181</td>
		<td style="width:80px" align="center">110.4%</td>
		<td style="width:80px" align="center">1.72%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Salvadoran</td>
		<td style="width:90px" align="center">30,507</td>
		<td style="width:90px" align="center">14,856</td>
		<td style="width:80px" align="center">105.4%</td>
		<td style="width:80px" align="center">1.45%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Chilean</td>
		<td style="width:90px" align="center">16,447</td>
		<td style="width:90px" align="center">10,932</td>
		<td style="width:80px" align="center">50.4%</td>
		<td style="width:80px" align="center">0.78%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Panamanian</td>
		<td style="width:90px" align="center">12,131</td>
		<td style="width:90px" align="center">8,508</td>
		<td style="width:80px" align="center">42.6%</td>
		<td style="width:80px" align="center">0.57%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Costa Rican</td>
		<td style="width:90px" align="center">11,024</td>
		<td style="width:90px" align="center">7,227</td>
		<td style="width:80px" align="center">52.5%</td>
		<td style="width:80px" align="center">0.52%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Uruguayan</td>
		<td style="width:90px" align="center">10,816</td>
		<td style="width:90px" align="center">3,374</td>
		<td style="width:80px" align="center">220.6%</td>
		<td style="width:80px" align="center">0.51%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Bolivian</td>
		<td style="width:90px" align="center">5,606</td>
		<td style="width:90px" align="center">3,403</td>
		<td style="width:80px" align="center">64.7%</td>
		<td style="width:80px" align="center">0.26%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Paraguayan</td>
		<td style="width:90px" align="center">810</td>
		<td style="width:90px" align="center">781</td>
		<td style="width:80px" align="center">3.7%</td>
		<td style="width:80px" align="center">0.03%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">All Other</td>
		<td style="width:90px" align="center">102,779</td>
		<td style="width:90px" align="center">271,927</td>
		<td style="width:80px" align="center">-62.2%</td>
		<td style="width:80px" align="center">4.89%</td>
	</tr>
</table><p>
</strong></p>
<p><strong><br />
</strong></p>
<p><strong>Miami&#8217;s Huge Increase in Households Earning Over $200,000</strong></p>
<p>When pondering the huge increase in the number of high income households,  one has to keep in mind that the American Community Survey data was collected during the years of 2006, 2007, and 2008. In other words, at the height of  the real estate bubble. Florida&#8217;s economy was flying high.</p>
<p>As is well known, Florida has been staggered by the collapse in the housing market and the latest state population estimates show an out-migration from the state. As a state that has predicated its view of itself on an endless vista of sunny growth, it has come as a rude shock. Don&#8217;t feel too bad Florida, things are worse in Nevada and Arizona!</p>
<p>In spite of the timing of people reporting their incomes from 2006-8, the huge increase in the number of  households reporting an income of more than $200,000 is staggering. The number of households in the metro area increased a mere 5.3% between 2000 and 2008, the number of +$200,000 households increased 63.8%. This is significantly lower than the growth of  this category in the country (84.9%).</p>
<p>Non-Hispanic Whites may be at parity with Hispanics when it comes to numbers, but they dominate the wealth sweepstakes. The American Community Survey showed the Miami metro area had 96,969 households with an income over $200,000 (out of a total of 2,006,818 households). Non-Hispanic Whites had 69,380 of these incomes or<strong> 71.5%</strong> of the total. Latinos had 21,599 of these high income households or<strong> 22.3%</strong>. The growth in this high income sector shows Latinos gaining on Non-Hispanic Whites . The number of  Latino households earning over $200,000 between 2000 and 2008 grew by101.9%, double the  percentage increase by Non-Hispanic Whites (50.6%).</p>
<p>African-Americans make up a very small portion of high income households with only 3,146 households reporting an income over $200,000. Blacks make up 19.2% of the three county Metro area&#8217;s population and yet only 3.2% of the households with incomes over $200,000. Asian-Americans make up a mere 2.1% of the Miami metro&#8217;s population and 2.3% of the high income households. Due to the paucity of  affluent Black and Asian-American households, the rest of this essay will concentrate on Non-Hispanic White and Latino households.</p>
<p><strong>Patterns of Wealth: Miami-Fort Lauderdale-Palm Beach</strong></p>
<p>When one examines the three counties and cities with over 20,000 people, there are some interesting patterns in the growth of wealthy households between 2000 and 2008. <strong>Table Three </strong>shows that the number of households earning over $200,000 are fairly evenly split between Miami-Dade, Broward, and Palm Beach Counties. Broward showed an extraordinary growth in high income households (+85.8%) and Palm Beach lagging at a growth rate of 45.1%. Palm Beach County&#8217;s growth may lag a bit but it is still the wealthiest of the three counties in terms of median household income and it also continues to have the highest proportion of wealthy households.</p>
<p>Table three lists all of the cities in the metro area with over 1,000 households earning more than $200,000. Note that two of the metro areas wealthiest suburbs (<strong>Palm Beach</strong> and <strong>Pinecrest</strong>) are not enumerated for 2008, as they don&#8217;t have the requisite 20,000 population to be broken out separately in the  American Community Survey.</p>
<p><strong>Table Three: Where the Wealthy Live in Miami Metro</strong></p>
<p><strong></p>
<h2>Where the Wealthy Live in the Miami area</h2>
<table class="wptable rowstyle-alt" id="wptable-30"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:80px" align="left">Area</th>
		<th class="sortable" style="width:80px" align="left">Area Detail</th>
		<th class="sortable" style="width:60px" align="center">Number of +$200,000 Household Incs.: 2008</th>
		<th class="sortable" style="width:60px" align="center">Number of +$200,000 Household Incs.: 2000</th>
		<th class="sortable" style="width:60px" align="center">Percent Increase</th>
		<th class="sortable" style="width:50px" align="center">Total No. of Household % Increase or Decrease</th>
	</tr>
	</thead>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:50px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" align="left">Metro Area</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:60px" align="center">96,969</td>
		<td style="width:60px" align="center">59,208</td>
		<td style="width:60px" align="center">63.8%</td>
		<td style="width:50px" align="center">5.3%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:50px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" align="left">Miami Dade County</td>
		<td style="width:80px" align="left">All Miami Dade County Areas</td>
		<td style="width:60px" align="center">34,260</td>
		<td style="width:60px" align="center">20,666</td>
		<td style="width:60px" align="center">65.8%</td>
		<td style="width:50px" align="center">6.7%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Miami</td>
		<td style="width:60px" align="center">4,362</td>
		<td style="width:60px" align="center">2,661</td>
		<td style="width:60px" align="center">63.9%</td>
		<td style="width:50px" align="center">1.6%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Coral Gables</td>
		<td style="width:60px" align="center">3,791</td>
		<td style="width:60px" align="center">2,616</td>
		<td style="width:60px" align="center">44.9%</td>
		<td style="width:50px" align="center">4.6%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Miami Beach</td>
		<td style="width:60px" align="center">3,274</td>
		<td style="width:60px" align="center">1,832</td>
		<td style="width:60px" align="center">78.7%</td>
		<td style="width:50px" align="center">-10.3%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Kendall</td>
		<td style="width:60px" align="center">2,471</td>
		<td style="width:60px" align="center">1,440</td>
		<td style="width:60px" align="center">71.6%</td>
		<td style="width:50px" align="center">-0.2%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Palmetto Bay<sup>1</sup></td>
		<td style="width:60px" align="center">1,377</td>
		<td style="width:60px" align="center">867</td>
		<td style="width:60px" align="center">58.8%</td>
		<td style="width:50px" align="center">1.7%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Aventura</td>
		<td style="width:60px" align="center">1,318</td>
		<td style="width:60px" align="center">861</td>
		<td style="width:60px" align="center">53.1%</td>
		<td style="width:50px" align="center">8.7%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Doral</td>
		<td style="width:60px" align="center">1,135</td>
		<td style="width:60px" align="center">448</td>
		<td style="width:60px" align="center">153.3%</td>
		<td style="width:50px" align="center">69.2%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">(Pinecrest)</td>
		<td style="width:60px" align="center">NA</td>
		<td style="width:60px" align="center">1,421</td>
		<td style="width:60px" align="center">NA</td>
		<td style="width:50px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:50px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" align="left">Broward County</td>
		<td style="width:80px" align="left">All Broward County Areas</td>
		<td style="width:60px" align="center">30,918</td>
		<td style="width:60px" align="center">16,644</td>
		<td style="width:60px" align="center">85.8%</td>
		<td style="width:50px" align="center">2.5%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Fort Lauderdale</td>
		<td style="width:60px" align="center">5,131</td>
		<td style="width:60px" align="center">3,024</td>
		<td style="width:60px" align="center">69.7%</td>
		<td style="width:50px" align="center">3.6%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Coral Springs</td>
		<td style="width:60px" align="center">3,497</td>
		<td style="width:60px" align="center">1,716</td>
		<td style="width:60px" align="center">103.8%</td>
		<td style="width:50px" align="center">5.6%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Weston</td>
		<td style="width:60px" align="center">3,474</td>
		<td style="width:60px" align="center">1,813</td>
		<td style="width:60px" align="center">91.6%</td>
		<td style="width:50px" align="center">25.4%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Davie</td>
		<td style="width:60px" align="center">2,335</td>
		<td style="width:60px" align="center">745</td>
		<td style="width:60px" align="center">213.4%</td>
		<td style="width:50px" align="center">23.0%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Plantation</td>
		<td style="width:60px" align="center">2,283</td>
		<td style="width:60px" align="center">1,195</td>
		<td style="width:60px" align="center">91.0%</td>
		<td style="width:50px" align="center">-2.4%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Hollywood</td>
		<td style="width:60px" align="center">2,271</td>
		<td style="width:60px" align="center">1,220</td>
		<td style="width:60px" align="center">86.1%</td>
		<td style="width:50px" align="center">-3.7%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Pembroke Pines</td>
		<td style="width:60px" align="center">2,141</td>
		<td style="width:60px" align="center">852</td>
		<td style="width:60px" align="center">151.3%</td>
		<td style="width:50px" align="center">7.6%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Parkland</td>
		<td style="width:60px" align="center">1,375</td>
		<td style="width:60px" align="center">780</td>
		<td style="width:60px" align="center">76.3%</td>
		<td style="width:50px" align="center">56.7%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Miramar</td>
		<td style="width:60px" align="center">1,315</td>
		<td style="width:60px" align="center">301</td>
		<td style="width:60px" align="center">336.9%</td>
		<td style="width:50px" align="center">48.1%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Pompano Beach</td>
		<td style="width:60px" align="center">1,284</td>
		<td style="width:60px" align="center">862</td>
		<td style="width:60px" align="center">49.0%</td>
		<td style="width:50px" align="center">21.5%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:60px" >&nbsp;</td>
		<td style="width:50px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" align="left">Palm Beach County</td>
		<td style="width:80px" align="left">All Palm Beach County Areas</td>
		<td style="width:60px" align="center">31,780</td>
		<td style="width:60px" align="center">21,898</td>
		<td style="width:60px" align="center">45.1%</td>
		<td style="width:50px" align="center">6.8%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Boca Raton</td>
		<td style="width:60px" align="center">4,524</td>
		<td style="width:60px" align="center">3,991</td>
		<td style="width:60px" align="center">13.4%</td>
		<td style="width:50px" align="center">5.6%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Palm Beach Gardens</td>
		<td style="width:60px" align="center">2,535</td>
		<td style="width:60px" align="center">1,504</td>
		<td style="width:60px" align="center">68.6%</td>
		<td style="width:50px" align="center">27.8%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">West Palm Beach</td>
		<td style="width:60px" align="center">1,989</td>
		<td style="width:60px" align="center">1,105</td>
		<td style="width:60px" align="center">80.0%</td>
		<td style="width:50px" align="center">6.8%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Jupiter</td>
		<td style="width:60px" align="center">1,848</td>
		<td style="width:60px" align="center">1,089</td>
		<td style="width:60px" align="center">69.7%</td>
		<td style="width:50px" align="center">22.9%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Delray Beach</td>
		<td style="width:60px" align="center">1,524</td>
		<td style="width:60px" align="center">1,092</td>
		<td style="width:60px" align="center">39.6%</td>
		<td style="width:50px" align="center">-2.9%</td>
	</tr>
	<tr class="alt">
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">Wellington</td>
		<td style="width:60px" align="center">1,810</td>
		<td style="width:60px" align="center">818</td>
		<td style="width:60px" align="center">121.3%</td>
		<td style="width:50px" align="center">36.0%</td>
	</tr>
	<tr>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" align="left">(Palm Beach)</td>
		<td style="width:60px" align="center">NA</td>
		<td style="width:60px" align="center">1,561</td>
		<td style="width:60px" align="center">NA</td>
		<td style="width:50px" >&nbsp;</td>
	</tr>
</table><p>
</strong></p>
<p><strong><br />
</strong></p>
<p>1  2000 Census figures for recently incorporated Palmetto Bay are a composite for the previous CDP&#8217;s (unincorporated places) of Cutler and East Perrine<strong>.</strong></p>
<p><strong>The Changing Face of Wealth in Metro Miami</strong></p>
<p>Every major city in the metro area showed a much larger growth in wealthy households than total households. Whereas the metro&#8217;s number of households grew by 5.3% between 200o and 2008, the number of wealthy households earning over $200,000 grew by 63.8%.</p>
<div class="wp-caption alignright" style="width: 250px"><a href="http://www.flickr.com/photos/stignygaard/460045366/"><img class="  " title="An art deco hotel in Miami Beach.  Photo by Stig Nygaard.  Click to visit the original at Flickr." src="http://farm1.static.flickr.com/197/460045366_ca72818054_d.jpg" alt="An art deco hotel in Miami Beach.  Photo by Stig Nygaard.  Click to visit the original at Flickr." width="240" height="320" /></a><p class="wp-caption-text">An art deco hotel in Miami Beach.  Photo by Stig Nygaard.  Click to visit the original at Flickr.</p></div>
<p>As most Miamians know <strong>Miami Beach&#8217;s</strong> resurgence is very noticeable. Although the number of households actually declined by 10.3%, the number of high income households increased by 78.7%. The building boom that has so altered Miami Beach&#8217;s architecture has also altered it&#8217;s socio-economic make up.</p>
<p>The ACS found the number of Non-Hispanic White  +$200,000 households increased to 2,298 of Miami Beach&#8217;s households, an increase of 64.3%. Meanwhile, Latinos saw a 91.0% increase to 785 households  making that sum or more.</p>
<p>Miramar, a fast growing southern Broward County suburb showed the highest percentage increase of high income families (+336.9%). Miramar has a significant African-American population as well as large contingents of rapidly increasing  Latinos and decreasing Non-Hispanic Whites. The number of Hispanic households earning more than $200,000 increased an astonishing 424.8%. <strong>Table 4</strong> shows the vast increases by Latinos earning high income by county and place with over 20,000 people.</p>
<p><strong>Table Four: Increase in Latino households earning over $200,000 by county and place: ACS 2008</strong></p>
<p><strong></p>
<h2>Latino Households having over $200,000 household income</h2>
<table class="wptable rowstyle-alt" id="wptable-31"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:100px" align="left">Area</th>
		<th class="sortable" style="width:80px" align="center">Percent Latino: 2008</th>
		<th class="sortable" style="width:80px" align="center">Percent Latino: 2000</th>
		<th class="sortable" style="width:80px" align="center">Over $200 Latino 2008</th>
		<th class="sortable" style="width:80px" align="center">Over $200 Latino 2000</th>
		<th class="sortable" style="width:80px" align="center">Percentage Increase</th>
	</tr>
	</thead>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Metro Area</td>
		<td style="width:80px" align="center">34.8%</td>
		<td style="width:80px" align="center">29.6%</td>
		<td style="width:80px" align="center">21,599</td>
		<td style="width:80px" align="center">9,986</td>
		<td style="width:80px" align="center">116.3%</td>
	</tr>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Miami-Dade County</td>
		<td style="width:80px" align="center">61.3%</td>
		<td style="width:80px" align="center">56.4%</td>
		<td style="width:80px" align="center">15,506</td>
		<td style="width:80px" align="center">7,680</td>
		<td style="width:80px" align="center">101.9%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Broward County</td>
		<td style="width:80px" align="center">18.9%</td>
		<td style="width:80px" align="center">13.1%</td>
		<td style="width:80px" align="center">4,165</td>
		<td style="width:80px" align="center">1,531</td>
		<td style="width:80px" align="center">172.0%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Palm Beach County</td>
		<td style="width:80px" align="center">12.3%</td>
		<td style="width:80px" align="center">8.6%</td>
		<td style="width:80px" align="center">1,928</td>
		<td style="width:80px" align="center">775</td>
		<td style="width:80px" align="center">148.8%</td>
	</tr>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Miami Dade County</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Miami</td>
		<td style="width:80px" align="center">69.2%</td>
		<td style="width:80px" align="center">66.8%</td>
		<td style="width:80px" align="center">1,954</td>
		<td style="width:80px" align="center">960</td>
		<td style="width:80px" align="center">103.5%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Coral Gables</td>
		<td style="width:80px" align="center">49.3%</td>
		<td style="width:80px" align="center">47.8%</td>
		<td style="width:80px" align="center">1,479</td>
		<td style="width:80px" align="center">1,057</td>
		<td style="width:80px" align="center">39.9%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Miami Beach</td>
		<td style="width:80px" align="center">48.9%</td>
		<td style="width:80px" align="center">50.4%</td>
		<td style="width:80px" align="center">785</td>
		<td style="width:80px" align="center">411</td>
		<td style="width:80px" align="center">91.0%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Kendall</td>
		<td style="width:80px" align="center">56.9%</td>
		<td style="width:80px" align="center">46.6%</td>
		<td style="width:80px" align="center">1,147</td>
		<td style="width:80px" align="center">474</td>
		<td style="width:80px" align="center">142.0%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Aventura</td>
		<td style="width:80px" align="center">22.3%</td>
		<td style="width:80px" align="center">16.3%</td>
		<td style="width:80px" align="center">203</td>
		<td style="width:80px" align="center">127</td>
		<td style="width:80px" align="center">59.8%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Doral</td>
		<td style="width:80px" align="center">75.1%</td>
		<td style="width:80px" align="center">65.9%</td>
		<td style="width:80px" align="center">721</td>
		<td style="width:80px" align="center">210</td>
		<td style="width:80px" align="center">243.3%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Miami Lakes</td>
		<td style="width:80px" align="center">73.2%</td>
		<td style="width:80px" align="center">63.4%</td>
		<td style="width:80px" align="center">495</td>
		<td style="width:80px" align="center">243</td>
		<td style="width:80px" align="center">103.7%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Broward County</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Fort Lauderdale</td>
		<td style="width:80px" align="center">10.4%</td>
		<td style="width:80px" align="center">7.3%</td>
		<td style="width:80px" align="center">340</td>
		<td style="width:80px" align="center">149</td>
		<td style="width:80px" align="center">128.2%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Coral Springs</td>
		<td style="width:80px" align="center">18.6%</td>
		<td style="width:80px" align="center">13.1%</td>
		<td style="width:80px" align="center">277</td>
		<td style="width:80px" align="center">132</td>
		<td style="width:80px" align="center">109.8%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Weston</td>
		<td style="width:80px" align="center">39.5%</td>
		<td style="width:80px" align="center">27.4%</td>
		<td style="width:80px" align="center">921</td>
		<td style="width:80px" align="center">257</td>
		<td style="width:80px" align="center">258.4%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Davie</td>
		<td style="width:80px" align="center">21.1%</td>
		<td style="width:80px" align="center">15.2%</td>
		<td style="width:80px" align="center">285</td>
		<td style="width:80px" align="center">108</td>
		<td style="width:80px" align="center">163.9%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Plantation</td>
		<td style="width:80px" align="center">14.4%</td>
		<td style="width:80px" align="center">10.8%</td>
		<td style="width:80px" align="center">211</td>
		<td style="width:80px" align="center">137</td>
		<td style="width:80px" align="center">54.0%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Hollywood</td>
		<td style="width:80px" align="center">24.0%</td>
		<td style="width:80px" align="center">17.7%</td>
		<td style="width:80px" align="center">235</td>
		<td style="width:80px" align="center">44</td>
		<td style="width:80px" align="center">434.1%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Pembroke Pines</td>
		<td style="width:80px" align="center">32.3%</td>
		<td style="width:80px" align="center">23.4%</td>
		<td style="width:80px" align="center">520</td>
		<td style="width:80px" align="center">195</td>
		<td style="width:80px" align="center">166.7%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Miramar</td>
		<td style="width:80px" align="center">35.1%</td>
		<td style="width:80px" align="center">27.7%</td>
		<td style="width:80px" align="center">619</td>
		<td style="width:80px" align="center">118</td>
		<td style="width:80px" align="center">424.6%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Pompano Beach</td>
		<td style="width:80px" align="center">10.9%</td>
		<td style="width:80px" align="center">6.9%</td>
		<td style="width:80px" align="center">74</td>
		<td style="width:80px" align="center">23</td>
		<td style="width:80px" align="center">221.7%</td>
	</tr>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Palm Beach County</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Boca Raton</td>
		<td style="width:80px" align="center">7.4%</td>
		<td style="width:80px" align="center">6.2%</td>
		<td style="width:80px" align="center">294</td>
		<td style="width:80px" align="center">172</td>
		<td style="width:80px" align="center">70.9%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">West Palm Beach</td>
		<td style="width:80px" align="center">14.7%</td>
		<td style="width:80px" align="center">13.8%</td>
		<td style="width:80px" align="center">203</td>
		<td style="width:80px" align="center">40</td>
		<td style="width:80px" align="center">407.5%</td>
	</tr>
	<tr>
		<td style="width:100px" align="left">Delray Beach</td>
		<td style="width:80px" align="center">6.3%</td>
		<td style="width:80px" align="center">4.6%</td>
		<td style="width:80px" align="center">110</td>
		<td style="width:80px" align="center">17</td>
		<td style="width:80px" align="center">547.1%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="left">Wellington</td>
		<td style="width:80px" align="center">13.1%</td>
		<td style="width:80px" align="center">9.4%</td>
		<td style="width:80px" align="center">107</td>
		<td style="width:80px" align="center">35</td>
		<td style="width:80px" align="center">205.7%</td>
	</tr>
</table><p>
<br />
</strong></p>
<p><strong>The Hierarchy of Water in Miami Metro&#8217;s Wealthy Neighborhoods<br />
</strong></p>
<p>The physical of geography of Miami metro&#8217;s three counties&#8217; highest income neighborhoods is difficult to capture by the Census Bureau&#8217;s system of tracts and block groups. For the most part, waterfront property and it&#8217;s many gradations of status reign supreme in determining the value of housing. At the top of the hierarchy are two types of lots that have their charms depending on your personal taste. Atlantic Ocean lots are scarce and extremely expensive. Most are so valuable that they are monopolized by high rises. Equally desirable are intra-coastal lots that have the added advantage of allowing for a place to moor your yacht.</p>
<div class="wp-caption alignnone" style="width: 510px"><a href="http://www.flickr.com/photos/pswint/3122569019/"><img title="Palm Island in Miami. Photo by Patrick Swint" src="http://farm4.static.flickr.com/3195/3122569019_48bb69a858_d.jpg" alt="Palm Island in Miami. Photo by Patrick Swint" width="500" height="375" /></a><p class="wp-caption-text">Palm Island in Miami. Photo by Patrick Swint. Click to see the original at Flickr.</p></div>
<p>The endless miles of canals and <em>faux</em> lakes that have been excavated to create more waterfront seems to be valued by how far it is away from the oceanfront. Naturally, the further from the ocean, the lower the value.</p>
<p>The end result is an extremely linear geographic pattern of wealth with houses on water costing two to three times as much as there landlocked neighbors. All three counties have a series of spectacularly wealthy small communities on the barrier islands that face the Atlantic. Starting with Key Biscayne in the south and working it&#8217;s way to the grand daddy of them all, <strong>Palm Beach</strong>.</p>
<p>Further complications to accurately capturing wealth in the Miami metro area are the high number of seasonal homes. Income is counted at a household&#8217;s &#8220;first home&#8221;, and therefore many of the beautiful homes in the Miami area are not counted for income purposes.</p>
<p>Yet another complication is the large number of retirees: even wealthy retirees have lower incomes than people in their working prime.</p>
<p>Finally, there is the mixed use of the highly desirable waterfront locations: endless high-rises dot the waterfront and they inevitably bring mean household income down whether they are rentals or condominiums. The <strong>Brickell Avenue</strong> corridor has witnessed a boom in high rise construction (until recently) and it is not represented in the Higley 1000 despite a large array of very expensive condos.</p>
<p><strong>Miami-Dade&#8217;s Higley 1000 Neighborhoods</strong></p>
<p>There are two main areas of Higley1000 neighborhoods  in Miami-Dade, the <strong>Coral Gables-Pinecrest</strong> nexus and the luxury housing found on <strong>Miami Beach.</strong></p>
<p>Coral Gable&#8217;s expensive neighborhoods range from the traditional villages built when the city was first developed by George Merrick in the 1920s Florida land boom, to more recent gated communities along the Biscayne Bay waterfront.</p>
<p>Merrick&#8217;s planned suburb included the  grand <strong>Coral Gables Biltmore Hotel</strong> as well as the <strong>University of Miami</strong>. The original 1920s homes  featured the eclectic architectural style that was popular at that time. They were available in various &#8220;villages&#8221;. Three of these older neighborhoods from the Twenties that are ranked in the Higley 1000 have significant Latino populations. These neighborhoods are #477, <strong>Southern Colonial Village </strong>(43.4% Hispanic in 2000)<strong>; </strong>#486<strong>, Dutch South African Village</strong> (30.6% Hispanic); and a neighborhood  that came in at #683 and that I have dubbed <strong>Granada Golf Course West</strong> (47.9% Hispanic).</p>
<p>The large Block Group that runs along Biscayne Bay is home to Coral Gables&#8217; nouveau riche McMansions. The neighborhood that I have dubbed <strong>Cocoplum-Gables Estates</strong> is actually made up of a dozen gated developments along the waterfront. These gated communities rank a lofty 64th on the Higley 1000 and are 42.9% Latino.</p>
<p><strong>Pinecrest</strong>, is a newly incorporated suburb. Following a  successful campaign by <strong>Key Biscayne</strong> for incorporation, many of the more affluent areas of Miami-Dade County quickly followed suit. In the course of a few years, Pinecrest, Doral, Miami Lakes, Palmetto Bay and even downscale Miami Gardens made successful bids for incorporation.</p>
<p>Pinecrest, often referred to as &#8220;Old Cutler&#8221; before incorporation has some of the wealthiest neighborhoods in the Miami area. I have named the Higley 1000 neighborhoods in Pinecrest for the largest subdivision names in each Block Group. The Pinecrest neighborhoods also have a  significant number of Latino households: #25, <strong>Rockdale Estates-Cutler Bay Estates</strong> (38.5% Latino); #44, <strong>Devonwood-Bayridge Estates</strong> (16.9%); # 490, <strong>Mitchell Manors-Collins Heights</strong> (31.9%), and, #585, <strong>Rollingwood Estates-Town and Country Estates</strong> (15.9%).</p>
<p><strong>Coconut Grove</strong> (#348), Miami&#8217;s premiere central city neighborhood of wealth had a surprisingly low 9.8% of its households categorized as Latino in the 2000 Census.</p>
<p><strong>Map of Higley 1000 Neighborhoods in the Coral Gables-Pinecrest Area</strong></p>
<p><strong><iframe width="475" height="550" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;t=h&amp;msa=0&amp;msid=109694166348599969067.00047cbdd085504175512&amp;ll=25.682994,-80.26268&amp;spn=0.170172,0.163078&amp;z=12&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;t=h&amp;msa=0&amp;msid=109694166348599969067.00047cbdd085504175512&amp;ll=25.682994,-80.26268&amp;spn=0.170172,0.163078&amp;z=12&amp;source=embed" style="color:#0000FF;text-align:left">Coral Gables - Pinecrest</a> in a larger map</small><br />
</strong></p>
<p><strong>Miami Beach</strong></p>
<p>The glitzy transformation of Miami Beach&#8217;s <strong>South Beach</strong> neighborhood over the last 20 years has been stunning. However Miami Beach has always featured a wide array of wealthy single family island neighborhoods far away figuratively, if not physically from the pulsating Ocean Drive.</p>
<p>The wealthiest of these island neighborhoods is <strong>Fisher Island</strong> (#18 in the Higley1000). It&#8217;s is relatively &#8220;new&#8221; in that it has built out over the last 20 years on an island that was originally owned by the Vanderbilts. The Fisher Island Club is located in the renovated Vanderbilt mansion. It is located at the southern tip of Miami Beach and is accessible solely by ferry or private boat. It is extremely luxurious and primarily made up of condominiums&#8230; a rarity for such a lofty ranking in the Higley 1000.</p>
<p>Other exclusive island neighborhoods in Miami Beach include the celebrity laden <strong>Star Island </strong>as well as <strong>Hibiscus Island, Palm Island, the Sunset Isles</strong>, and <strong>La Gorce</strong>.</p>
<p><strong>Indian Creek Village</strong> is a ultra-exclusive island (and a tiny incorporated place) in Biscayne Bay. It consists of 35 mansions surrounding a golf course. Due to it&#8217;s tiny size and the fact that most of the homes are second homes, it does not make the Higley 1000.</p>
<p><strong>Map of Miami Beach Higley 1000 Neighborhoods</strong></p>
<p><strong><iframe width="475" height="1100" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;t=h&amp;msa=0&amp;msid=109694166348599969067.00047cbdcbc52de90b16f&amp;ll=25.827089,-80.157623&amp;spn=0.169966,0.081367&amp;z=13&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;t=h&amp;msa=0&amp;msid=109694166348599969067.00047cbdcbc52de90b16f&amp;ll=25.827089,-80.157623&amp;spn=0.169966,0.081367&amp;z=13&amp;source=embed" style="color:#0000FF;text-align:left">Miami Beach</a> in a larger map</small><br />
</strong></p>
]]></content:encoded>
			<wfw:commentRss>http://higley1000.com/archives/241/feed</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Asian-Americans Flock to America&#8217;s Wealthy Suburbs</title>
		<link>http://higley1000.com/archives/201</link>
		<comments>http://higley1000.com/archives/201#comments</comments>
		<pubDate>Sun, 06 Dec 2009 02:23:50 +0000</pubDate>
		<dc:creator>Stephen Higley</dc:creator>
				<category><![CDATA[General]]></category>
		<category><![CDATA[The US Census]]></category>

		<guid isPermaLink="false">http://higley1000.com/?p=201</guid>
		<description><![CDATA[The  increase in the number of American families that claimed an income of over $200,000 between 2000 and the ACS of 2006-8 is stunning. Although the total number of households in the United States only increased by 8.0%, the number earning over $200,000 skyrocketed by 88.2%. The number of Asian-Americans earning over that amount increased a stunning 181.5%]]></description>
				<content:encoded><![CDATA[<p>An analysis of data from the <strong>2006-8 American Community Survey</strong> shows that <strong>Asian-Americans</strong> are the fastest growing racial minority in the United States since the 2000 Census. They barely edge out <strong>Latinos</strong> (34.6% vs. 33.2%) in population growth (albeit from a much smaller base). The population of <strong>African-Americans</strong> increased a substantial 15.9% while <strong>non-Hispanic</strong> <strong>Whites</strong> barely nudged ahead of the 2000 Census figures with a paltry 2.6% increase in population (ACS 2006-8).</p>
<p><strong>Table 1</strong> <strong>United States Population Increase 2000 to 2008, by Race</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-23"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<th class="sortable" style="width:125px" align="center">Population: 2008 Census Estimate</th>
		<th class="sortable" style="width:125px" align="center">Population: 2000 Census</th>
		<th class="sortable" style="width:90px" align="center">Percentage Increase</th>
	</tr>
	</thead>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<td style="width:125px" >&nbsp;</td>
		<td style="width:125px" >&nbsp;</td>
		<td style="width:90px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">United States</td>
		<td style="width:125px" align="center">304,059,724</td>
		<td style="width:125px" align="center">281,421,906</td>
		<td style="width:90px" align="center">8.0%</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">Non-Hispanic Whites</td>
		<td style="width:125px" align="center">199,491,458</td>
		<td style="width:125px" align="center">194,514,410</td>
		<td style="width:90px" align="center">2.6%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">Asians</td>
		<td style="width:125px" align="center">13,549,064</td>
		<td style="width:125px" align="center">10,067,813</td>
		<td style="width:90px" align="center">34.6%</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">African-Americans</td>
		<td style="width:125px" align="center">39,058,834</td>
		<td style="width:125px" align="center">33,707,230</td>
		<td style="width:90px" align="center">15.9%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">Latino</td>
		<td style="width:125px" align="center">46,943,613</td>
		<td style="width:125px" align="center">35,238,481</td>
		<td style="width:90px" align="center">33.2%</td>
	</tr>
</table><p>
</strong></p>
<p>A picture of Asian-American material success begins to emerge when one examines the median household income growth figures (inflation adjusted) and is further illustrated by the number of households that claim an income of over $200,000.</p>
<p><strong>Table 2</strong> clearly shows that Asian-American households used the beginning of the 21st Century to increase their median household income by 33.0% to $69,047, significantly widening their lead over all other racial categories and nearly doubling the median household income of African-Americans ($35,086).</p>
<p>It is important to note that within the broad category of  &#8220;Asian-American&#8221;, there are significant different rates of median household income. The 2000 Census found that <strong>Indian-Americans</strong> had the highest median income ($63,669) followed by <strong>Filipinos</strong> ($60,570). At the bottom end were the <strong>Cambodians</strong> ($36,155), the <strong>Malaysians</strong> ($35,767), and the <strong>Hmong</strong> ($32,076). Each of these low income ethnic groups are relatively small in number compared to the two largest Asian ethnic groups, Chinese and Indians.</p>
<p>As there are no current income statistics by ethnic group in the ACS, it is impossible to know how they have fared over the last 8 years. My guess is that along with the rest of the country, the 2010 Census will show the greatest gains in personal income going to those already at the top of the distribution.</p>
<p><strong>Table 2  Median Household income Increase 2000-2008, by Race</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-24"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<th class="sortable" style="width:120px" align="center">Median Household Income:    2006-8 ACS</th>
		<th class="sortable" style="width:120px" align="center">Median Household Income: 2000 Census</th>
		<th class="sortable" style="width:90px" align="center">Percentage Increase</th>
	</tr>
	</thead>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<td style="width:120px" >&nbsp;</td>
		<td style="width:120px" >&nbsp;</td>
		<td style="width:90px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">United States</td>
		<td style="width:120px" align="center">$52,175</td>
		<td style="width:120px" align="center">$41,994</td>
		<td style="width:90px" align="center">24.2%</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">Non-Hispanic Whites</td>
		<td style="width:120px" align="center">$56,648</td>
		<td style="width:120px" align="center">$45,367</td>
		<td style="width:90px" align="center">24.9%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">Asian</td>
		<td style="width:120px" align="center">$69,047</td>
		<td style="width:120px" align="center">$51,908</td>
		<td style="width:90px" align="center">33.0%</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">African-Americans</td>
		<td style="width:120px" align="center">$35,086</td>
		<td style="width:120px" align="center">$29,423</td>
		<td style="width:90px" align="center">19.2%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">Latinos</td>
		<td style="width:120px" align="center">$41,630</td>
		<td style="width:120px" align="center">$33,676</td>
		<td style="width:90px" align="center">23.6%</td>
	</tr>
</table><p>
</strong></p>
<p><strong>The +$200,000 Club</strong></p>
<p>The story that the rich have gotten a lot richer over the last twenty years is an old story. The physical proof of wealth pooling at the top is easily seen in the vast expanses of  <em>nouveaux riche</em> McMansions on the periphery of almost any self respecting American metro area. The teardown phenomenon in older wealthy neighborhoods is but another symptom of this increase in high-income households.  American material success, following a well worn path in history,  has a strong penchant for displaying  wealth and prosperity through architecture. Americans aren&#8217;t what we eat&#8230;. we&#8217;re what we live in!</p>
<p>The  increase in the number of American households that claimed an income of over $200,000 between 2000 and the ACS of 2006-8 is stunning. Although the total number of households in the United States increased by 8.0%, the number earning over $200,000 skyrocketed by 88.2%. The number of Asian-Americans earning over that amount increased an incredible 181.5%&#8211; a growth rate more than twice the national average and more than 3 1/2 times the growth rate in African-American families (a healthy increase of 48.9%, but lagging considerably behind other racial categories).</p>
<p><strong>Table 3: Number of Households Earning Greater than $200,000, by Race</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-25"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<th class="sortable" style="width:120px" align="center">Number of Households with Income over $200,000:      ACS 2006-2008</th>
		<th class="sortable" style="width:120px" align="center">Number of Households with Income over $200,000: Census 2000</th>
		<th class="sortable" style="width:90px" align="center">% Increase</th>
	</tr>
	</thead>
	<tr>
		<td style="width:100px" >&nbsp;</td>
		<td style="width:120px" >&nbsp;</td>
		<td style="width:120px" >&nbsp;</td>
		<td style="width:90px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">United States</td>
		<td style="width:120px" align="center">4,710,621</td>
		<td style="width:120px" align="center">2,502,675</td>
		<td style="width:90px" align="center">88.2%</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">Non-Hispanic White</td>
		<td style="width:120px" align="center">3,994,432</td>
		<td style="width:120px" align="center">2,165,393</td>
		<td style="width:90px" align="center">84.5%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">Asian</td>
		<td style="width:120px" align="center">312,228</td>
		<td style="width:120px" align="center">110,935</td>
		<td style="width:90px" align="center">181.5%</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">African-American</td>
		<td style="width:120px" align="center">152,314</td>
		<td style="width:120px" align="center">102,287</td>
		<td style="width:90px" align="center">48.9%</td>
	</tr>
	<tr class="alt">
		<td style="width:100px" align="center">Latino</td>
		<td style="width:120px" align="center">198,569</td>
		<td style="width:120px" align="center">95,721</td>
		<td style="width:90px" align="center">107.4%</td>
	</tr>
	<tr>
		<td style="width:100px" align="center">Other Races</td>
		<td style="width:120px" align="center">53,078</td>
		<td style="width:120px" align="center">28,339</td>
		<td style="width:90px" align="center">87.3%</td>
	</tr>
</table><p>
</strong></p>
<p><strong>Asian-Americans Flock to America&#8217;s Wealthiest Suburbs</strong></p>
<p>As the number of high income Asian households increases dramatically, they have moved easily into America&#8217;s most elite suburbs as well as many other places that may not be the richest, but extremely comfortable. <strong> </strong></p>
<p><strong>Table Four</strong> lists 22 well-to-do American suburbs and illustrates the huge increase in the percentage and number of Asian households. These increases are much larger than the Asian-American population growth in general and corresponds to their growing affluence as a racial group.</p>
<p>The vast majority of the 22 wealthy suburbs listed below have experienced modest population growth. Many are geographically landlocked and their slow but steady growth is usually associated with intensified land-use. However. the growth in the Asian population is overall quite remarkable. As can be seen in the table the only place on the list to see a decrease in the Asian population was found in <strong>Potomac, Maryland</strong>. Note that the decrease is tiny and well within the statistical variance.</p>
<p><strong>Table 4  High Income Places with Large Asian-American Populations</strong></p>
<p><strong></p>
<table class="wptable rowstyle-alt" id="wptable-26"  cellspacing="5" cellpadding="3">
	<thead>
	<tr>
		<th class="sortable" style="width:110px" align="center">City, Town, or Village</th>
		<th class="sortable" style="width:30px" align="center">ST</th>
		<th class="sortable" style="width:120px" align="center">Median Household Income: 2006-8 ACS</th>
		<th class="sortable" style="width:80px" align="center">Percent Asian: 2006-8 ACS</th>
		<th class="sortable" style="width:80px" align="center">Percent Asian: 2000 Census</th>
	</tr>
	</thead>
	<tr>
		<td style="width:110px" >&nbsp;</td>
		<td style="width:30px" >&nbsp;</td>
		<td style="width:120px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">United States</td>
		<td style="width:30px" >&nbsp;</td>
		<td style="width:120px" align="center">$52,175</td>
		<td style="width:80px" align="center">4.7%</td>
		<td style="width:80px" align="center">3.6%</td>
	</tr>
	<tr>
		<td style="width:110px" >&nbsp;</td>
		<td style="width:30px" >&nbsp;</td>
		<td style="width:120px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
		<td style="width:80px" >&nbsp;</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Milpitas</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$90,126</td>
		<td style="width:80px" align="center">60.3%</td>
		<td style="width:80px" align="center">51.8%</td>
	</tr>
	<tr>
		<td style="width:110px" align="center">Cupertino</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$125,106</td>
		<td style="width:80px" align="center">57.1%</td>
		<td style="width:80px" align="center">44.4%</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Fremont</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$94,979</td>
		<td style="width:80px" align="center">46.8%</td>
		<td style="width:80px" align="center">37.0%</td>
	</tr>
	<tr>
		<td style="width:110px" align="center">Saratoga</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$151,734</td>
		<td style="width:80px" align="center">37.3%</td>
		<td style="width:80px" align="center">29.1%</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Irvine</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$94,903</td>
		<td style="width:80px" align="center">35.9%</td>
		<td style="width:80px" align="center">29.8%</td>
	</tr>
	<tr>
		<td style="width:110px" align="center">North Potomac</td>
		<td style="width:30px" align="center">MD</td>
		<td style="width:120px" align="center">$129,452</td>
		<td style="width:80px" align="center">32.5%</td>
		<td style="width:80px" align="center">27.6%</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Sugar Land</td>
		<td style="width:30px" align="center">TX</td>
		<td style="width:120px" align="center">$100,783</td>
		<td style="width:80px" align="center">30.4%</td>
		<td style="width:80px" align="center">23.8%</td>
	</tr>
	<tr>
		<td style="width:110px" align="center">West Windsor Township</td>
		<td style="width:30px" align="center">NJ</td>
		<td style="width:120px" align="center">$137,179</td>
		<td style="width:80px" align="center">30.2%</td>
		<td style="width:80px" align="center">21.9%</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Rancho Palos Verdes</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$111,421</td>
		<td style="width:80px" align="center">27.4%</td>
		<td style="width:80px" align="center">21.6%</td>
	</tr>
	<tr>
		<td style="width:110px" align="center">La Canada Flintridge</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$140,474</td>
		<td style="width:80px" align="center">25.4%</td>
		<td style="width:80px" align="center">15.7%</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Palo Alto</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$126,741</td>
		<td style="width:80px" align="center">24.9%</td>
		<td style="width:80px" align="center">17.2%</td>
	</tr>
	<tr>
		<td style="width:110px" align="center">Los Altos</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$161,970</td>
		<td style="width:80px" align="center">20.6%</td>
		<td style="width:80px" align="center">15.4%</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Bridgewater Township</td>
		<td style="width:30px" align="center">NJ</td>
		<td style="width:120px" align="center">$107,382</td>
		<td style="width:80px" align="center">15.3%</td>
		<td style="width:80px" align="center">11.0%</td>
	</tr>
	<tr>
		<td style="width:110px" align="center">Yorba Linda</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$125,553</td>
		<td style="width:80px" align="center">13.9%</td>
		<td style="width:80px" align="center">11.1%</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Potomac</td>
		<td style="width:30px" align="center">MD</td>
		<td style="width:120px" align="center">$157,254</td>
		<td style="width:80px" align="center">13.3%</td>
		<td style="width:80px" align="center">13.4%</td>
	</tr>
	<tr>
		<td style="width:110px" align="center">Ridgewood</td>
		<td style="width:30px" align="center">NJ</td>
		<td style="width:120px" align="center">$135,419</td>
		<td style="width:80px" align="center">13.1%</td>
		<td style="width:80px" align="center">8.5%</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Town of North Hempstead</td>
		<td style="width:30px" align="center">NY</td>
		<td style="width:120px" align="center">$102,861</td>
		<td style="width:80px" align="center">13.0%</td>
		<td style="width:80px" align="center">9.2%</td>
	</tr>
	<tr>
		<td style="width:110px" align="center">McLean</td>
		<td style="width:30px" align="center">VA</td>
		<td style="width:120px" align="center">$155,649</td>
		<td style="width:80px" align="center">12.6%</td>
		<td style="width:80px" align="center">10.6%</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Danville</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$127,426</td>
		<td style="width:80px" align="center">12.0%</td>
		<td style="width:80px" align="center">9.0%</td>
	</tr>
	<tr>
		<td style="width:110px" align="center">Calabasas</td>
		<td style="width:30px" align="center">CA</td>
		<td style="width:120px" align="center">$105,881</td>
		<td style="width:80px" align="center">11.7%</td>
		<td style="width:80px" align="center">7.7%</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Bernards Township</td>
		<td style="width:30px" align="center">NJ</td>
		<td style="width:120px" align="center">$125,716</td>
		<td style="width:80px" align="center">11.6%</td>
		<td style="width:80px" align="center">7.8%</td>
	</tr>
	<tr>
		<td style="width:110px" align="center">Northbrook</td>
		<td style="width:30px" align="center">IL</td>
		<td style="width:120px" align="center">$116,680</td>
		<td style="width:80px" align="center">10.7%</td>
		<td style="width:80px" align="center">8.8%</td>
	</tr>
	<tr class="alt">
		<td style="width:110px" align="center">Town of Greenburgh</td>
		<td style="width:30px" align="center">NY</td>
		<td style="width:120px" align="center">$101,154</td>
		<td style="width:80px" align="center">10.2%</td>
		<td style="width:80px" align="center">9.0%</td>
	</tr>
</table><p>
</strong></p>
<p><strong>Cupertino, California: An Asian-American Success Story</strong></p>
<p>Cupertino, California in the heart of <strong>Silicon Valley</strong>. Apple is headquartered in the city and just a short distance from a major Hewlett-Packard complex.Cupertino has joined Milpitas, California as the second Asian majority affluent suburb in the United States. Cupertino may be an insignificant socio-economic notch below Saratoga to the south or Los Altos Hills to the north, but it is very affluent by any American standard. On Dec 5th, 2009, Zillow.com&#8217;s valued the typical Cupertino home at $964,700. The schools are superb and Cupertino has extraordinarily high levels of adult education attainment befitting a high tech mecca.  More adults have graduate or professional degrees (41.0%) than measly Bachelors degrees (34.1%)!</p>
<p>Between 2000 and 2006-8 the percentage of Asian households has increased from 44.4% to 57.1%. Cupertino&#8217;s Asian population is dominated by two ethnic groups. Chinese-Americans makeup 47.7% of Cupertino&#8217;s Asian population and Indian-Americans makeup an additional 32.2% of the Asian population (2006-8 ACS). With majority status comes political power. I will leave it to the Political Scientists to let us know how local power politics are playing out! Better yet, it would be interesting to hear from some Cupertinos (?) as to racial relations in their fair city. Drop a note on my blog!</p>
<p><strong>Map of Cupertino, California</strong></p>
<p><strong><iframe width="450" height="350" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.000479f04e0ceee25145b&amp;ll=37.313383,-122.046947&amp;spn=0.095569,0.154495&amp;z=12&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.000479f04e0ceee25145b&amp;ll=37.313383,-122.046947&amp;spn=0.095569,0.154495&amp;z=12&amp;source=embed" style="color:#0000FF;text-align:left">Cupertino, California</a> in a larger map</small></strong></p>
<p><strong>Asian Diversity in the Southeastern Bay</strong></p>
<p>Although not geographically part of Silicon Valley, but close by, are two excellent examples of affluent suburbs with large Asian populations: <strong>Milpitas</strong> and <strong>Fremont </strong></p>
<p>Located to the northeast of San Jose, Milpitas&#8217; population is 60.3% Asian, an increase from 51.8% in the 2000 Census. It is interesting that the population of Milpitas has a very diverse Asian population (Filipinos, 30.6% of all Asians; Chinese, 22.9%; Vietnamese, 20.7%; Indian, 18.4%). Milpitas has one <strong>Higley 1000</strong> neighborhood that surrounds the <strong>Summitpointe Golf Club</strong> on the city&#8217;s east side.</p>
<p>Fremont,  just north of Milpitas, is a large city (206,241) that has a high median household income ($94.979, ACS) and a large, diverse Asian population that is dominated by Chinese (36.3% of all Asian groups), and Indians (34.1%)&#8230; a close second in population (well within the margin or error). The third largest Asian contingent in Fremont is Filipino. They contribute 12.4% of the Asian-American population.</p>
<p>Fremont has three of the four highest percentage Asian neighborhoods in the entire United States in the  <strong>Higley 1000</strong> neighborhoods. They are all found in the <strong>Mission San Jose</strong> district of the city: <strong>Mission Hills-Vineyards North</strong>, 74.6 % Asian; <strong>Cameron Hills South</strong>, 63.9% Asian; and <strong>Avalon-Vineyards</strong> <strong>South</strong>, 54.2% Asian. It should be noted that Fremont&#8217;s highest income neighborhoods are significantly more Asian than the rest of the city.</p>
<p>In both Fremont and Milpitas, the largest percentage increase among Asian population subcategories was clearly seen in American-Indian households. The population increase was significant at 58.4% in Fremont and 66.9% in Milpitas.</p>
<p><strong>Map of Fremont-Milpitas Higley 1000 Neighborhoods (2000)</strong></p>
<p><strong><iframe width="450" height="500" frameborder="0" scrolling="no" marginheight="0" marginwidth="0" src="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.000479f16d079204535ac&amp;ll=37.493111,-121.904297&amp;spn=0.136201,0.154495&amp;z=12&amp;output=embed"></iframe><br /><small>View <a href="http://maps.google.com/maps/ms?ie=UTF8&amp;hl=en&amp;msa=0&amp;msid=109694166348599969067.000479f16d079204535ac&amp;ll=37.493111,-121.904297&amp;spn=0.136201,0.154495&amp;z=12&amp;source=embed" style="color:#0000FF;text-align:left">Fremont-Milpitas, California</a> in a larger map</small></strong></p>
<p>In summary, the 2010 Census will give us more concrete numbers and it is my opinion that we will see the estimates of the American Community Survey confirmed: Asian-Americans are flocking to our wealthiest Suburbs in large numbers driven by high levels of education and income.</p>
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